Text Generation
Transformers
Safetensors
granite_switch
granite
granite-switch
lora
adapters
mixture-of-adapters
conversational
Instructions to use barha/granite-switch-4.0-350m-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barha/granite-switch-4.0-350m-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="barha/granite-switch-4.0-350m-demo") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("barha/granite-switch-4.0-350m-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use barha/granite-switch-4.0-350m-demo with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "barha/granite-switch-4.0-350m-demo" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "barha/granite-switch-4.0-350m-demo", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/barha/granite-switch-4.0-350m-demo
- SGLang
How to use barha/granite-switch-4.0-350m-demo with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "barha/granite-switch-4.0-350m-demo" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "barha/granite-switch-4.0-350m-demo", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "barha/granite-switch-4.0-350m-demo" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "barha/granite-switch-4.0-350m-demo", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use barha/granite-switch-4.0-350m-demo with Docker Model Runner:
docker model run hf.co/barha/granite-switch-4.0-350m-demo
granite-switch-4.0-350m 3-adapter aLoRA demo: cti-technique-mapping + text-to-json + genai-attack-vector
Browse files- BUILD.md +6 -6
- adapter_index.json +3 -3
- chat_template.jinja +3 -3
- compose_report.json +89 -1265
- config.json +5 -7
- model.safetensors +2 -2
BUILD.md
CHANGED
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@@ -16,17 +16,17 @@ Total adapters: **3**
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| # | Name | Technology | Control Token | Token ID | Rank | Alpha | Target Modules | Source |
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|---|------|------------|---------------|----------|------|-------|----------------|--------|
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| 1 | cti-technique-mapping |
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| 2 | text-to-json |
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| 3 | genai-attack-vector |
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## Composition Details
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- base_param_count: 352,379,904
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-
- composed_param_count:
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-
- Param delta: +
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- compose_settings:
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-
- technology: "
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- adapter_substitute_token_ids:
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- 100264
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- 100264
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| # | Name | Technology | Control Token | Token ID | Rank | Alpha | Target Modules | Source |
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|---|------|------------|---------------|----------|------|-------|----------------|--------|
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+
| 1 | cti-technique-mapping | alora | `<\|cti-technique-mapping\|>` | 100352 | 32 | 64 | input_linear, k_proj, o_proj, output_linear, q_proj, v_proj | cti-technique-mapping |
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+
| 2 | text-to-json | alora | `<\|text-to-json\|>` | 100353 | 32 | 64 | input_linear, k_proj, o_proj, output_linear, q_proj, v_proj | text-to-json |
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+
| 3 | genai-attack-vector | alora | `<\|genai-attack-vector\|>` | 100354 | 32 | 64 | input_linear, k_proj, o_proj, output_linear, q_proj, v_proj | genai-attack-vector |
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## Composition Details
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- base_param_count: 352,379,904
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+
- composed_param_count: 370,274,304
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+
- Param delta: +5.08%
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- compose_settings:
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+
- technology: "alora"
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- adapter_substitute_token_ids:
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- 100264
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- 100264
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adapter_index.json
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{
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"adapter_index": 1,
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"adapter_name": "cti-technique-mapping",
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"technology": "
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"control_token": {
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"token": "<|cti-technique-mapping|>",
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"id": 100352
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{
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"adapter_index": 2,
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"adapter_name": "text-to-json",
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"technology": "
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"control_token": {
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"token": "<|text-to-json|>",
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"id": 100353
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{
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"adapter_index": 3,
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"adapter_name": "genai-attack-vector",
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"technology": "
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"control_token": {
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"token": "<|genai-attack-vector|>",
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"id": 100354
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{
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"adapter_index": 1,
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"adapter_name": "cti-technique-mapping",
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"technology": "alora",
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"control_token": {
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"token": "<|cti-technique-mapping|>",
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"id": 100352
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{
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"adapter_index": 2,
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"adapter_name": "text-to-json",
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"technology": "alora",
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"control_token": {
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"token": "<|text-to-json|>",
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"id": 100353
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{
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"adapter_index": 3,
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"adapter_name": "genai-attack-vector",
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"technology": "alora",
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"control_token": {
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"token": "<|genai-attack-vector|>",
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"id": 100354
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chat_template.jinja
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{%- set adapter_map = {
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'cti-technique-mapping': {'token': '<|cti-technique-mapping|>', 'type': '
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'text-to-json': {'token': '<|text-to-json|>', 'type': '
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'genai-attack-vector': {'token': '<|genai-attack-vector|>', 'type': '
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} %}
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{#- Look up adapter token, type, and invocation text from adapter_name -#}
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{%- set adapter_token = '' %}
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{%- set adapter_map = {
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'cti-technique-mapping': {'token': '<|cti-technique-mapping|>', 'type': 'alora', 'invocation_text': '<|start_of_role|>assistant<|end_of_role|>'},
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'text-to-json': {'token': '<|text-to-json|>', 'type': 'alora', 'invocation_text': '<|start_of_role|>assistant<|end_of_role|>'},
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'genai-attack-vector': {'token': '<|genai-attack-vector|>', 'type': 'alora', 'invocation_text': '<|start_of_role|>assistant<|end_of_role|>'}
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} %}
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{#- Look up adapter token, type, and invocation text from adapter_name -#}
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{%- set adapter_token = '' %}
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compose_report.json
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{
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"metadata": {
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"timestamp": "2026-06-
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"base_model_mapping": [
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{
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{
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@@ -1330,48 +1330,6 @@
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"target": "model.layers.0.self_attn.qkv_proj.lora_B_slices.2",
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{
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{
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@@ -1444,48 +1402,6 @@
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"target": "model.layers.1.self_attn.qkv_proj.lora_B_slices.2",
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{
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{
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{
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{
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@@ -1558,48 +1474,6 @@
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"target": "model.layers.10.self_attn.qkv_proj.lora_B_slices.2",
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{
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{
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@@ -1672,48 +1546,6 @@
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{
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{
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@@ -1786,48 +1618,6 @@
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"target": "model.layers.12.self_attn.qkv_proj.lora_B_slices.2",
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{
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{
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{
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{
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"target": "model.layers.12.shared_mlp.output_linear.lora_A",
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{
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{
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"adapter_0::base_model.model.model.layers.13.self_attn.o_proj.lora_A.weight",
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@@ -1900,48 +1690,6 @@
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"target": "model.layers.13.self_attn.qkv_proj.lora_B_slices.2",
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{
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{
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{
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"target": "model.layers.13.shared_mlp.input_linear.lora_B_slices.0",
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{
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{
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"target": "model.layers.13.shared_mlp.output_linear.lora_A",
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{
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{
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"source": [
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"adapter_0::base_model.model.model.layers.14.self_attn.o_proj.lora_A.weight",
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@@ -2014,48 +1762,6 @@
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"target": "model.layers.14.self_attn.qkv_proj.lora_B_slices.2",
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{
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"target": "model.layers.14.shared_mlp.input_linear.lora_A_slices.0",
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{
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"adapter_0::base_model.model.model.layers.14.shared_mlp.input_linear.lora_A.weight"
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"target": "model.layers.14.shared_mlp.input_linear.lora_A_slices.1",
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{
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],
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"target": "model.layers.14.shared_mlp.input_linear.lora_B_slices.0",
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},
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{
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],
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"target": "model.layers.14.shared_mlp.input_linear.lora_B_slices.1",
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},
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{
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"adapter_0::base_model.model.model.layers.14.shared_mlp.output_linear.lora_A.weight"
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],
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"target": "model.layers.14.shared_mlp.output_linear.lora_A",
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},
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{
|
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"adapter_0::base_model.model.model.layers.14.shared_mlp.output_linear.lora_B.weight"
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{
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"source": [
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"adapter_0::base_model.model.model.layers.15.self_attn.o_proj.lora_A.weight",
|
|
@@ -2128,48 +1834,6 @@
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"target": "model.layers.15.self_attn.qkv_proj.lora_B_slices.2",
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{
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"target": "model.layers.15.shared_mlp.input_linear.lora_A_slices.0",
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{
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{
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{
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],
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},
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{
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],
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"target": "model.layers.15.shared_mlp.output_linear.lora_A",
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{
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{
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"source": [
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"adapter_0::base_model.model.model.layers.16.self_attn.o_proj.lora_A.weight",
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|
@@ -2244,80 +1908,38 @@
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{
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{
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{
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{
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{
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],
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"target": "model.layers.16.shared_mlp.output_linear.lora_A",
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},
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{
|
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|
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],
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{
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"source": [
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"adapter_0::base_model.model.model.layers.17.self_attn.o_proj.lora_A.weight",
|
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"adapter_1::base_model.model.model.layers.17.self_attn.o_proj.lora_A.weight",
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"adapter_2::base_model.model.model.layers.17.self_attn.o_proj.lora_A.weight"
|
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],
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"target": "model.layers.17.self_attn.o_proj.lora_A",
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.17.self_attn.o_proj.lora_B.weight",
|
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"adapter_1::base_model.model.model.layers.17.self_attn.o_proj.lora_B.weight",
|
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"adapter_2::base_model.model.model.layers.17.self_attn.o_proj.lora_B.weight"
|
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],
|
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"target": "model.layers.17.self_attn.o_proj.lora_B",
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{
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"adapter_0::base_model.model.model.layers.17.self_attn.q_proj.lora_A.weight",
|
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"adapter_1::base_model.model.model.layers.17.self_attn.q_proj.lora_A.weight",
|
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"adapter_2::base_model.model.model.layers.17.self_attn.q_proj.lora_A.weight"
|
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],
|
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"target": "model.layers.17.self_attn.qkv_proj.lora_A_slices.0",
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|
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.17.self_attn.k_proj.lora_A.weight",
|
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"adapter_1::base_model.model.model.layers.17.self_attn.k_proj.lora_A.weight",
|
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"adapter_2::base_model.model.model.layers.17.self_attn.k_proj.lora_A.weight"
|
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],
|
| 2320 |
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"target": "model.layers.17.self_attn.qkv_proj.lora_A_slices.1",
|
| 2321 |
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},
|
| 2323 |
{
|
|
@@ -2356,48 +1978,6 @@
|
|
| 2356 |
"target": "model.layers.17.self_attn.qkv_proj.lora_B_slices.2",
|
| 2357 |
"type": "adapter_stacked"
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.17.shared_mlp.input_linear.lora_A.weight"
|
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],
|
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"target": "model.layers.17.shared_mlp.input_linear.lora_A_slices.0",
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{
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|
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],
|
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"target": "model.layers.17.shared_mlp.input_linear.lora_A_slices.1",
|
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|
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},
|
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{
|
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|
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],
|
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"target": "model.layers.17.shared_mlp.input_linear.lora_B_slices.0",
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},
|
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{
|
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|
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],
|
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"target": "model.layers.17.shared_mlp.input_linear.lora_B_slices.1",
|
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},
|
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{
|
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"source": [
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|
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],
|
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"target": "model.layers.17.shared_mlp.output_linear.lora_A",
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},
|
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{
|
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"source": [
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|
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|
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|
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},
|
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{
|
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"source": [
|
| 2403 |
"adapter_0::base_model.model.model.layers.18.self_attn.o_proj.lora_A.weight",
|
|
@@ -2470,48 +2050,6 @@
|
|
| 2470 |
"target": "model.layers.18.self_attn.qkv_proj.lora_B_slices.2",
|
| 2471 |
"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.18.shared_mlp.input_linear.lora_A.weight"
|
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],
|
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"target": "model.layers.18.shared_mlp.input_linear.lora_A_slices.0",
|
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|
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},
|
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{
|
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"source": [
|
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"adapter_0::base_model.model.model.layers.18.shared_mlp.input_linear.lora_A.weight"
|
| 2483 |
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],
|
| 2484 |
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"target": "model.layers.18.shared_mlp.input_linear.lora_A_slices.1",
|
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|
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},
|
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{
|
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"source": [
|
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"adapter_0::base_model.model.model.layers.18.shared_mlp.input_linear.lora_B.weight"
|
| 2490 |
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],
|
| 2491 |
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"target": "model.layers.18.shared_mlp.input_linear.lora_B_slices.0",
|
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{
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{
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"target": "model.layers.18.shared_mlp.output_linear.lora_A",
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{
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{
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"source": [
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"adapter_0::base_model.model.model.layers.19.self_attn.o_proj.lora_A.weight",
|
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@@ -2584,48 +2122,6 @@
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| 2584 |
"target": "model.layers.19.self_attn.qkv_proj.lora_B_slices.2",
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{
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],
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"target": "model.layers.19.shared_mlp.input_linear.lora_A_slices.0",
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{
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"target": "model.layers.19.shared_mlp.input_linear.lora_A_slices.1",
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},
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{
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],
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"target": "model.layers.19.shared_mlp.input_linear.lora_B_slices.0",
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{
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],
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"target": "model.layers.19.shared_mlp.input_linear.lora_B_slices.1",
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{
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],
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"target": "model.layers.19.shared_mlp.output_linear.lora_A",
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{
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{
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"adapter_0::base_model.model.model.layers.2.self_attn.o_proj.lora_A.weight",
|
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@@ -2698,48 +2194,6 @@
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"target": "model.layers.2.self_attn.qkv_proj.lora_B_slices.2",
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{
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"target": "model.layers.2.shared_mlp.input_linear.lora_A_slices.0",
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{
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"target": "model.layers.2.shared_mlp.input_linear.lora_A_slices.1",
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{
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],
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"target": "model.layers.2.shared_mlp.input_linear.lora_B_slices.0",
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},
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{
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],
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"target": "model.layers.2.shared_mlp.input_linear.lora_B_slices.1",
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{
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],
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"target": "model.layers.2.shared_mlp.output_linear.lora_A",
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{
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{
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"adapter_0::base_model.model.model.layers.20.self_attn.o_proj.lora_A.weight",
|
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@@ -2812,48 +2266,6 @@
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"target": "model.layers.20.self_attn.qkv_proj.lora_B_slices.2",
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{
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],
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"target": "model.layers.20.shared_mlp.input_linear.lora_A_slices.0",
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{
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"target": "model.layers.20.shared_mlp.input_linear.lora_A_slices.1",
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{
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],
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"target": "model.layers.20.shared_mlp.input_linear.lora_B_slices.0",
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},
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{
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],
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"target": "model.layers.20.shared_mlp.input_linear.lora_B_slices.1",
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},
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{
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],
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"target": "model.layers.20.shared_mlp.output_linear.lora_A",
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},
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{
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{
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"source": [
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"adapter_0::base_model.model.model.layers.21.self_attn.o_proj.lora_A.weight",
|
|
@@ -2926,48 +2338,6 @@
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"target": "model.layers.21.self_attn.qkv_proj.lora_B_slices.2",
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{
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],
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"target": "model.layers.21.shared_mlp.input_linear.lora_A_slices.0",
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{
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],
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"target": "model.layers.21.shared_mlp.input_linear.lora_A_slices.1",
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{
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|
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],
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"target": "model.layers.21.shared_mlp.input_linear.lora_B_slices.0",
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{
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],
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"target": "model.layers.21.shared_mlp.input_linear.lora_B_slices.1",
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},
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{
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"source": [
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|
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],
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"target": "model.layers.21.shared_mlp.output_linear.lora_A",
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{
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],
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{
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"source": [
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"adapter_0::base_model.model.model.layers.22.self_attn.o_proj.lora_A.weight",
|
|
@@ -3040,48 +2410,6 @@
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"target": "model.layers.22.self_attn.qkv_proj.lora_B_slices.2",
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{
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],
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"target": "model.layers.22.shared_mlp.input_linear.lora_A_slices.0",
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{
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"target": "model.layers.22.shared_mlp.input_linear.lora_A_slices.1",
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{
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],
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"target": "model.layers.22.shared_mlp.input_linear.lora_B_slices.0",
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{
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],
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"target": "model.layers.22.shared_mlp.input_linear.lora_B_slices.1",
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{
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],
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"target": "model.layers.22.shared_mlp.output_linear.lora_A",
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{
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{
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"source": [
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"adapter_0::base_model.model.model.layers.23.self_attn.o_proj.lora_A.weight",
|
|
@@ -3154,48 +2482,6 @@
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"target": "model.layers.23.self_attn.qkv_proj.lora_B_slices.2",
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{
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],
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"target": "model.layers.23.shared_mlp.input_linear.lora_A_slices.0",
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{
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{
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],
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"target": "model.layers.23.shared_mlp.input_linear.lora_B_slices.0",
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{
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|
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],
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"target": "model.layers.23.shared_mlp.input_linear.lora_B_slices.1",
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{
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],
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"target": "model.layers.23.shared_mlp.output_linear.lora_A",
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{
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|
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{
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"source": [
|
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"adapter_0::base_model.model.model.layers.24.self_attn.o_proj.lora_A.weight",
|
|
@@ -3268,48 +2554,6 @@
|
|
| 3268 |
"target": "model.layers.24.self_attn.qkv_proj.lora_B_slices.2",
|
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"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
|
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"adapter_0::base_model.model.model.layers.24.shared_mlp.input_linear.lora_A.weight"
|
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],
|
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"target": "model.layers.24.shared_mlp.input_linear.lora_A_slices.0",
|
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{
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],
|
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"target": "model.layers.24.shared_mlp.input_linear.lora_A_slices.1",
|
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"type": "adapter_stacked"
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},
|
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{
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"adapter_0::base_model.model.model.layers.24.shared_mlp.input_linear.lora_B.weight"
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],
|
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"target": "model.layers.24.shared_mlp.input_linear.lora_B_slices.0",
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},
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{
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"adapter_0::base_model.model.model.layers.24.shared_mlp.input_linear.lora_B.weight"
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],
|
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"target": "model.layers.24.shared_mlp.input_linear.lora_B_slices.1",
|
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"type": "adapter_stacked"
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.24.shared_mlp.output_linear.lora_A.weight"
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],
|
| 3303 |
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"target": "model.layers.24.shared_mlp.output_linear.lora_A",
|
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"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.24.shared_mlp.output_linear.lora_B.weight"
|
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],
|
| 3310 |
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"target": "model.layers.24.shared_mlp.output_linear.lora_B",
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|
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},
|
| 3313 |
{
|
| 3314 |
"source": [
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| 3315 |
"adapter_0::base_model.model.model.layers.25.self_attn.o_proj.lora_A.weight",
|
|
@@ -3382,48 +2626,6 @@
|
|
| 3382 |
"target": "model.layers.25.self_attn.qkv_proj.lora_B_slices.2",
|
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"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.25.shared_mlp.input_linear.lora_A.weight"
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],
|
| 3389 |
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"target": "model.layers.25.shared_mlp.input_linear.lora_A_slices.0",
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},
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{
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"source": [
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"adapter_0::base_model.model.model.layers.25.shared_mlp.input_linear.lora_A.weight"
|
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],
|
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"target": "model.layers.25.shared_mlp.input_linear.lora_A_slices.1",
|
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"type": "adapter_stacked"
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.25.shared_mlp.input_linear.lora_B.weight"
|
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],
|
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"target": "model.layers.25.shared_mlp.input_linear.lora_B_slices.0",
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.25.shared_mlp.input_linear.lora_B.weight"
|
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],
|
| 3410 |
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"target": "model.layers.25.shared_mlp.input_linear.lora_B_slices.1",
|
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"type": "adapter_stacked"
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.25.shared_mlp.output_linear.lora_A.weight"
|
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],
|
| 3417 |
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"target": "model.layers.25.shared_mlp.output_linear.lora_A",
|
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|
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},
|
| 3420 |
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.25.shared_mlp.output_linear.lora_B.weight"
|
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],
|
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"target": "model.layers.25.shared_mlp.output_linear.lora_B",
|
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|
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},
|
| 3427 |
{
|
| 3428 |
"source": [
|
| 3429 |
"adapter_0::base_model.model.model.layers.26.self_attn.o_proj.lora_A.weight",
|
|
@@ -3462,80 +2664,38 @@
|
|
| 3462 |
},
|
| 3463 |
{
|
| 3464 |
"source": [
|
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"adapter_0::base_model.model.model.layers.26.self_attn.v_proj.lora_A.weight",
|
| 3466 |
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"adapter_1::base_model.model.model.layers.26.self_attn.v_proj.lora_A.weight",
|
| 3467 |
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"adapter_2::base_model.model.model.layers.26.self_attn.v_proj.lora_A.weight"
|
| 3468 |
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],
|
| 3469 |
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"target": "model.layers.26.self_attn.qkv_proj.lora_A_slices.2",
|
| 3470 |
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"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
|
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"adapter_0::base_model.model.model.layers.26.self_attn.q_proj.lora_B.weight",
|
| 3475 |
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"adapter_1::base_model.model.model.layers.26.self_attn.q_proj.lora_B.weight",
|
| 3476 |
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"adapter_2::base_model.model.model.layers.26.self_attn.q_proj.lora_B.weight"
|
| 3477 |
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],
|
| 3478 |
-
"target": "model.layers.26.self_attn.qkv_proj.lora_B_slices.0",
|
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"type": "adapter_stacked"
|
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-
},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.26.self_attn.k_proj.lora_B.weight",
|
| 3484 |
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"adapter_1::base_model.model.model.layers.26.self_attn.k_proj.lora_B.weight",
|
| 3485 |
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"adapter_2::base_model.model.model.layers.26.self_attn.k_proj.lora_B.weight"
|
| 3486 |
-
],
|
| 3487 |
-
"target": "model.layers.26.self_attn.qkv_proj.lora_B_slices.1",
|
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"type": "adapter_stacked"
|
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},
|
| 3490 |
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{
|
| 3491 |
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"source": [
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"adapter_0::base_model.model.model.layers.26.self_attn.v_proj.lora_B.weight",
|
| 3493 |
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"adapter_1::base_model.model.model.layers.26.self_attn.v_proj.lora_B.weight",
|
| 3494 |
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"adapter_2::base_model.model.model.layers.26.self_attn.v_proj.lora_B.weight"
|
| 3495 |
-
],
|
| 3496 |
-
"target": "model.layers.26.self_attn.qkv_proj.lora_B_slices.2",
|
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"type": "adapter_stacked"
|
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},
|
| 3499 |
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{
|
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"source": [
|
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"adapter_0::base_model.model.model.layers.26.shared_mlp.input_linear.lora_A.weight"
|
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],
|
| 3503 |
-
"target": "model.layers.26.shared_mlp.input_linear.lora_A_slices.0",
|
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"type": "adapter_stacked"
|
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},
|
| 3506 |
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{
|
| 3507 |
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"source": [
|
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"adapter_0::base_model.model.model.layers.26.shared_mlp.input_linear.lora_A.weight"
|
| 3509 |
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],
|
| 3510 |
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"target": "model.layers.26.shared_mlp.input_linear.lora_A_slices.1",
|
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"type": "adapter_stacked"
|
| 3512 |
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},
|
| 3513 |
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{
|
| 3514 |
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"source": [
|
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"adapter_0::base_model.model.model.layers.26.shared_mlp.input_linear.lora_B.weight"
|
| 3516 |
],
|
| 3517 |
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"target": "model.layers.26.
|
| 3518 |
"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
|
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"adapter_0::base_model.model.model.layers.26.
|
|
|
|
|
|
|
| 3523 |
],
|
| 3524 |
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"target": "model.layers.26.
|
| 3525 |
"type": "adapter_stacked"
|
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},
|
| 3527 |
{
|
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"source": [
|
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"adapter_0::base_model.model.model.layers.26.
|
|
|
|
|
|
|
| 3530 |
],
|
| 3531 |
-
"target": "model.layers.26.
|
| 3532 |
"type": "adapter_stacked"
|
| 3533 |
},
|
| 3534 |
{
|
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"source": [
|
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"adapter_0::base_model.model.model.layers.26.
|
|
|
|
|
|
|
| 3537 |
],
|
| 3538 |
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"target": "model.layers.26.
|
| 3539 |
"type": "adapter_stacked"
|
| 3540 |
},
|
| 3541 |
{
|
|
@@ -3610,48 +2770,6 @@
|
|
| 3610 |
"target": "model.layers.27.self_attn.qkv_proj.lora_B_slices.2",
|
| 3611 |
"type": "adapter_stacked"
|
| 3612 |
},
|
| 3613 |
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{
|
| 3614 |
-
"source": [
|
| 3615 |
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"adapter_0::base_model.model.model.layers.27.shared_mlp.input_linear.lora_A.weight"
|
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],
|
| 3617 |
-
"target": "model.layers.27.shared_mlp.input_linear.lora_A_slices.0",
|
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"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.27.shared_mlp.input_linear.lora_A.weight"
|
| 3623 |
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],
|
| 3624 |
-
"target": "model.layers.27.shared_mlp.input_linear.lora_A_slices.1",
|
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"type": "adapter_stacked"
|
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},
|
| 3627 |
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{
|
| 3628 |
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"source": [
|
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"adapter_0::base_model.model.model.layers.27.shared_mlp.input_linear.lora_B.weight"
|
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],
|
| 3631 |
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"target": "model.layers.27.shared_mlp.input_linear.lora_B_slices.0",
|
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"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.27.shared_mlp.input_linear.lora_B.weight"
|
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],
|
| 3638 |
-
"target": "model.layers.27.shared_mlp.input_linear.lora_B_slices.1",
|
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"type": "adapter_stacked"
|
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},
|
| 3641 |
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{
|
| 3642 |
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"source": [
|
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"adapter_0::base_model.model.model.layers.27.shared_mlp.output_linear.lora_A.weight"
|
| 3644 |
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],
|
| 3645 |
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"target": "model.layers.27.shared_mlp.output_linear.lora_A",
|
| 3646 |
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"type": "adapter_stacked"
|
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},
|
| 3648 |
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{
|
| 3649 |
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"source": [
|
| 3650 |
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"adapter_0::base_model.model.model.layers.27.shared_mlp.output_linear.lora_B.weight"
|
| 3651 |
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],
|
| 3652 |
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"target": "model.layers.27.shared_mlp.output_linear.lora_B",
|
| 3653 |
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"type": "adapter_stacked"
|
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},
|
| 3655 |
{
|
| 3656 |
"source": [
|
| 3657 |
"adapter_0::base_model.model.model.layers.3.self_attn.o_proj.lora_A.weight",
|
|
@@ -3724,48 +2842,6 @@
|
|
| 3724 |
"target": "model.layers.3.self_attn.qkv_proj.lora_B_slices.2",
|
| 3725 |
"type": "adapter_stacked"
|
| 3726 |
},
|
| 3727 |
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.3.shared_mlp.input_linear.lora_A.weight"
|
| 3730 |
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],
|
| 3731 |
-
"target": "model.layers.3.shared_mlp.input_linear.lora_A_slices.0",
|
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.3.shared_mlp.input_linear.lora_A.weight"
|
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],
|
| 3738 |
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"target": "model.layers.3.shared_mlp.input_linear.lora_A_slices.1",
|
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"type": "adapter_stacked"
|
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},
|
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{
|
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"source": [
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"adapter_0::base_model.model.model.layers.3.shared_mlp.input_linear.lora_B.weight"
|
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],
|
| 3745 |
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"target": "model.layers.3.shared_mlp.input_linear.lora_B_slices.0",
|
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"type": "adapter_stacked"
|
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},
|
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{
|
| 3749 |
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"source": [
|
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"adapter_0::base_model.model.model.layers.3.shared_mlp.input_linear.lora_B.weight"
|
| 3751 |
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],
|
| 3752 |
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"target": "model.layers.3.shared_mlp.input_linear.lora_B_slices.1",
|
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"type": "adapter_stacked"
|
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},
|
| 3755 |
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{
|
| 3756 |
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"source": [
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"adapter_0::base_model.model.model.layers.3.shared_mlp.output_linear.lora_A.weight"
|
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],
|
| 3759 |
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"target": "model.layers.3.shared_mlp.output_linear.lora_A",
|
| 3760 |
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"type": "adapter_stacked"
|
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},
|
| 3762 |
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{
|
| 3763 |
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"source": [
|
| 3764 |
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"adapter_0::base_model.model.model.layers.3.shared_mlp.output_linear.lora_B.weight"
|
| 3765 |
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],
|
| 3766 |
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"target": "model.layers.3.shared_mlp.output_linear.lora_B",
|
| 3767 |
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"type": "adapter_stacked"
|
| 3768 |
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},
|
| 3769 |
{
|
| 3770 |
"source": [
|
| 3771 |
"adapter_0::base_model.model.model.layers.4.self_attn.o_proj.lora_A.weight",
|
|
@@ -3838,48 +2914,6 @@
|
|
| 3838 |
"target": "model.layers.4.self_attn.qkv_proj.lora_B_slices.2",
|
| 3839 |
"type": "adapter_stacked"
|
| 3840 |
},
|
| 3841 |
-
{
|
| 3842 |
-
"source": [
|
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"adapter_0::base_model.model.model.layers.4.shared_mlp.input_linear.lora_A.weight"
|
| 3844 |
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],
|
| 3845 |
-
"target": "model.layers.4.shared_mlp.input_linear.lora_A_slices.0",
|
| 3846 |
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"type": "adapter_stacked"
|
| 3847 |
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},
|
| 3848 |
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{
|
| 3849 |
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"source": [
|
| 3850 |
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"adapter_0::base_model.model.model.layers.4.shared_mlp.input_linear.lora_A.weight"
|
| 3851 |
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],
|
| 3852 |
-
"target": "model.layers.4.shared_mlp.input_linear.lora_A_slices.1",
|
| 3853 |
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"type": "adapter_stacked"
|
| 3854 |
-
},
|
| 3855 |
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{
|
| 3856 |
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"source": [
|
| 3857 |
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"adapter_0::base_model.model.model.layers.4.shared_mlp.input_linear.lora_B.weight"
|
| 3858 |
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],
|
| 3859 |
-
"target": "model.layers.4.shared_mlp.input_linear.lora_B_slices.0",
|
| 3860 |
-
"type": "adapter_stacked"
|
| 3861 |
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},
|
| 3862 |
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{
|
| 3863 |
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"source": [
|
| 3864 |
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"adapter_0::base_model.model.model.layers.4.shared_mlp.input_linear.lora_B.weight"
|
| 3865 |
-
],
|
| 3866 |
-
"target": "model.layers.4.shared_mlp.input_linear.lora_B_slices.1",
|
| 3867 |
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"type": "adapter_stacked"
|
| 3868 |
-
},
|
| 3869 |
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{
|
| 3870 |
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"source": [
|
| 3871 |
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"adapter_0::base_model.model.model.layers.4.shared_mlp.output_linear.lora_A.weight"
|
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-
],
|
| 3873 |
-
"target": "model.layers.4.shared_mlp.output_linear.lora_A",
|
| 3874 |
-
"type": "adapter_stacked"
|
| 3875 |
-
},
|
| 3876 |
-
{
|
| 3877 |
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"source": [
|
| 3878 |
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"adapter_0::base_model.model.model.layers.4.shared_mlp.output_linear.lora_B.weight"
|
| 3879 |
-
],
|
| 3880 |
-
"target": "model.layers.4.shared_mlp.output_linear.lora_B",
|
| 3881 |
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"type": "adapter_stacked"
|
| 3882 |
-
},
|
| 3883 |
{
|
| 3884 |
"source": [
|
| 3885 |
"adapter_0::base_model.model.model.layers.5.self_attn.o_proj.lora_A.weight",
|
|
@@ -3952,48 +2986,6 @@
|
|
| 3952 |
"target": "model.layers.5.self_attn.qkv_proj.lora_B_slices.2",
|
| 3953 |
"type": "adapter_stacked"
|
| 3954 |
},
|
| 3955 |
-
{
|
| 3956 |
-
"source": [
|
| 3957 |
-
"adapter_0::base_model.model.model.layers.5.shared_mlp.input_linear.lora_A.weight"
|
| 3958 |
-
],
|
| 3959 |
-
"target": "model.layers.5.shared_mlp.input_linear.lora_A_slices.0",
|
| 3960 |
-
"type": "adapter_stacked"
|
| 3961 |
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},
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{
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"target": "model.layers.5.shared_mlp.output_linear.lora_A",
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{
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{
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"adapter_0::base_model.model.model.layers.6.self_attn.o_proj.lora_A.weight",
|
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@@ -4066,48 +3058,6 @@
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"target": "model.layers.6.self_attn.qkv_proj.lora_B_slices.2",
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"type": "adapter_stacked"
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{
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"target": "model.layers.6.shared_mlp.input_linear.lora_A_slices.0",
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{
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{
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{
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"source": [
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"adapter_0::base_model.model.model.layers.6.shared_mlp.output_linear.lora_A.weight"
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"target": "model.layers.6.shared_mlp.output_linear.lora_A",
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{
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"source": [
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"target": "model.layers.6.shared_mlp.output_linear.lora_B",
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{
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"source": [
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"adapter_0::base_model.model.model.layers.7.self_attn.o_proj.lora_A.weight",
|
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@@ -4180,48 +3130,6 @@
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"target": "model.layers.7.self_attn.qkv_proj.lora_B_slices.2",
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{
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"source": [
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"target": "model.layers.7.shared_mlp.input_linear.lora_A_slices.0",
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{
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"target": "model.layers.7.shared_mlp.input_linear.lora_B_slices.1",
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{
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"target": "model.layers.7.shared_mlp.output_linear.lora_A",
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{
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{
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"adapter_0::base_model.model.model.layers.8.self_attn.o_proj.lora_A.weight",
|
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@@ -4294,48 +3202,6 @@
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"target": "model.layers.8.self_attn.qkv_proj.lora_B_slices.2",
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{
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{
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{
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"adapter_0::base_model.model.model.layers.9.self_attn.o_proj.lora_A.weight",
|
|
@@ -4407,48 +3273,6 @@
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|
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"target": "model.layers.9.self_attn.qkv_proj.lora_B_slices.2",
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}
|
|
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| 1 |
{
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1693 |
{
|
| 1694 |
"source": [
|
| 1695 |
"adapter_0::base_model.model.model.layers.14.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 1762 |
"target": "model.layers.14.self_attn.qkv_proj.lora_B_slices.2",
|
| 1763 |
"type": "adapter_stacked"
|
| 1764 |
},
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1765 |
{
|
| 1766 |
"source": [
|
| 1767 |
"adapter_0::base_model.model.model.layers.15.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 1834 |
"target": "model.layers.15.self_attn.qkv_proj.lora_B_slices.2",
|
| 1835 |
"type": "adapter_stacked"
|
| 1836 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1837 |
{
|
| 1838 |
"source": [
|
| 1839 |
"adapter_0::base_model.model.model.layers.16.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 1908 |
},
|
| 1909 |
{
|
| 1910 |
"source": [
|
| 1911 |
+
"adapter_0::base_model.model.model.layers.17.self_attn.o_proj.lora_A.weight",
|
| 1912 |
+
"adapter_1::base_model.model.model.layers.17.self_attn.o_proj.lora_A.weight",
|
| 1913 |
+
"adapter_2::base_model.model.model.layers.17.self_attn.o_proj.lora_A.weight"
|
| 1914 |
],
|
| 1915 |
+
"target": "model.layers.17.self_attn.o_proj.lora_A",
|
| 1916 |
"type": "adapter_stacked"
|
| 1917 |
},
|
| 1918 |
{
|
| 1919 |
"source": [
|
| 1920 |
+
"adapter_0::base_model.model.model.layers.17.self_attn.o_proj.lora_B.weight",
|
| 1921 |
+
"adapter_1::base_model.model.model.layers.17.self_attn.o_proj.lora_B.weight",
|
| 1922 |
+
"adapter_2::base_model.model.model.layers.17.self_attn.o_proj.lora_B.weight"
|
| 1923 |
],
|
| 1924 |
+
"target": "model.layers.17.self_attn.o_proj.lora_B",
|
| 1925 |
"type": "adapter_stacked"
|
| 1926 |
},
|
| 1927 |
{
|
| 1928 |
"source": [
|
| 1929 |
+
"adapter_0::base_model.model.model.layers.17.self_attn.q_proj.lora_A.weight",
|
| 1930 |
+
"adapter_1::base_model.model.model.layers.17.self_attn.q_proj.lora_A.weight",
|
| 1931 |
+
"adapter_2::base_model.model.model.layers.17.self_attn.q_proj.lora_A.weight"
|
| 1932 |
],
|
| 1933 |
+
"target": "model.layers.17.self_attn.qkv_proj.lora_A_slices.0",
|
| 1934 |
"type": "adapter_stacked"
|
| 1935 |
},
|
| 1936 |
{
|
| 1937 |
"source": [
|
| 1938 |
+
"adapter_0::base_model.model.model.layers.17.self_attn.k_proj.lora_A.weight",
|
| 1939 |
+
"adapter_1::base_model.model.model.layers.17.self_attn.k_proj.lora_A.weight",
|
| 1940 |
+
"adapter_2::base_model.model.model.layers.17.self_attn.k_proj.lora_A.weight"
|
| 1941 |
],
|
| 1942 |
+
"target": "model.layers.17.self_attn.qkv_proj.lora_A_slices.1",
|
|
|
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|
|
|
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|
|
|
|
| 1943 |
"type": "adapter_stacked"
|
| 1944 |
},
|
| 1945 |
{
|
|
|
|
| 1978 |
"target": "model.layers.17.self_attn.qkv_proj.lora_B_slices.2",
|
| 1979 |
"type": "adapter_stacked"
|
| 1980 |
},
|
|
|
|
|
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|
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|
|
|
| 1981 |
{
|
| 1982 |
"source": [
|
| 1983 |
"adapter_0::base_model.model.model.layers.18.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2050 |
"target": "model.layers.18.self_attn.qkv_proj.lora_B_slices.2",
|
| 2051 |
"type": "adapter_stacked"
|
| 2052 |
},
|
|
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|
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|
|
| 2053 |
{
|
| 2054 |
"source": [
|
| 2055 |
"adapter_0::base_model.model.model.layers.19.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2122 |
"target": "model.layers.19.self_attn.qkv_proj.lora_B_slices.2",
|
| 2123 |
"type": "adapter_stacked"
|
| 2124 |
},
|
|
|
|
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|
|
|
|
| 2125 |
{
|
| 2126 |
"source": [
|
| 2127 |
"adapter_0::base_model.model.model.layers.2.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2194 |
"target": "model.layers.2.self_attn.qkv_proj.lora_B_slices.2",
|
| 2195 |
"type": "adapter_stacked"
|
| 2196 |
},
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
| 2197 |
{
|
| 2198 |
"source": [
|
| 2199 |
"adapter_0::base_model.model.model.layers.20.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2266 |
"target": "model.layers.20.self_attn.qkv_proj.lora_B_slices.2",
|
| 2267 |
"type": "adapter_stacked"
|
| 2268 |
},
|
|
|
|
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|
|
|
|
| 2269 |
{
|
| 2270 |
"source": [
|
| 2271 |
"adapter_0::base_model.model.model.layers.21.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2338 |
"target": "model.layers.21.self_attn.qkv_proj.lora_B_slices.2",
|
| 2339 |
"type": "adapter_stacked"
|
| 2340 |
},
|
|
|
|
|
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|
|
|
|
|
|
| 2341 |
{
|
| 2342 |
"source": [
|
| 2343 |
"adapter_0::base_model.model.model.layers.22.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2410 |
"target": "model.layers.22.self_attn.qkv_proj.lora_B_slices.2",
|
| 2411 |
"type": "adapter_stacked"
|
| 2412 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
| 2413 |
{
|
| 2414 |
"source": [
|
| 2415 |
"adapter_0::base_model.model.model.layers.23.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2482 |
"target": "model.layers.23.self_attn.qkv_proj.lora_B_slices.2",
|
| 2483 |
"type": "adapter_stacked"
|
| 2484 |
},
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
| 2485 |
{
|
| 2486 |
"source": [
|
| 2487 |
"adapter_0::base_model.model.model.layers.24.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2554 |
"target": "model.layers.24.self_attn.qkv_proj.lora_B_slices.2",
|
| 2555 |
"type": "adapter_stacked"
|
| 2556 |
},
|
|
|
|
|
|
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|
|
|
|
| 2557 |
{
|
| 2558 |
"source": [
|
| 2559 |
"adapter_0::base_model.model.model.layers.25.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2626 |
"target": "model.layers.25.self_attn.qkv_proj.lora_B_slices.2",
|
| 2627 |
"type": "adapter_stacked"
|
| 2628 |
},
|
|
|
|
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|
|
|
|
| 2629 |
{
|
| 2630 |
"source": [
|
| 2631 |
"adapter_0::base_model.model.model.layers.26.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2664 |
},
|
| 2665 |
{
|
| 2666 |
"source": [
|
| 2667 |
+
"adapter_0::base_model.model.model.layers.26.self_attn.v_proj.lora_A.weight",
|
| 2668 |
+
"adapter_1::base_model.model.model.layers.26.self_attn.v_proj.lora_A.weight",
|
| 2669 |
+
"adapter_2::base_model.model.model.layers.26.self_attn.v_proj.lora_A.weight"
|
|
|
|
|
|
|
|
|
|
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|
|
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|
| 2670 |
],
|
| 2671 |
+
"target": "model.layers.26.self_attn.qkv_proj.lora_A_slices.2",
|
| 2672 |
"type": "adapter_stacked"
|
| 2673 |
},
|
| 2674 |
{
|
| 2675 |
"source": [
|
| 2676 |
+
"adapter_0::base_model.model.model.layers.26.self_attn.q_proj.lora_B.weight",
|
| 2677 |
+
"adapter_1::base_model.model.model.layers.26.self_attn.q_proj.lora_B.weight",
|
| 2678 |
+
"adapter_2::base_model.model.model.layers.26.self_attn.q_proj.lora_B.weight"
|
| 2679 |
],
|
| 2680 |
+
"target": "model.layers.26.self_attn.qkv_proj.lora_B_slices.0",
|
| 2681 |
"type": "adapter_stacked"
|
| 2682 |
},
|
| 2683 |
{
|
| 2684 |
"source": [
|
| 2685 |
+
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|
| 2686 |
+
"adapter_1::base_model.model.model.layers.26.self_attn.k_proj.lora_B.weight",
|
| 2687 |
+
"adapter_2::base_model.model.model.layers.26.self_attn.k_proj.lora_B.weight"
|
| 2688 |
],
|
| 2689 |
+
"target": "model.layers.26.self_attn.qkv_proj.lora_B_slices.1",
|
| 2690 |
"type": "adapter_stacked"
|
| 2691 |
},
|
| 2692 |
{
|
| 2693 |
"source": [
|
| 2694 |
+
"adapter_0::base_model.model.model.layers.26.self_attn.v_proj.lora_B.weight",
|
| 2695 |
+
"adapter_1::base_model.model.model.layers.26.self_attn.v_proj.lora_B.weight",
|
| 2696 |
+
"adapter_2::base_model.model.model.layers.26.self_attn.v_proj.lora_B.weight"
|
| 2697 |
],
|
| 2698 |
+
"target": "model.layers.26.self_attn.qkv_proj.lora_B_slices.2",
|
| 2699 |
"type": "adapter_stacked"
|
| 2700 |
},
|
| 2701 |
{
|
|
|
|
| 2770 |
"target": "model.layers.27.self_attn.qkv_proj.lora_B_slices.2",
|
| 2771 |
"type": "adapter_stacked"
|
| 2772 |
},
|
|
|
|
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|
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|
|
|
|
|
|
|
|
| 2773 |
{
|
| 2774 |
"source": [
|
| 2775 |
"adapter_0::base_model.model.model.layers.3.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2842 |
"target": "model.layers.3.self_attn.qkv_proj.lora_B_slices.2",
|
| 2843 |
"type": "adapter_stacked"
|
| 2844 |
},
|
|
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|
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|
| 2845 |
{
|
| 2846 |
"source": [
|
| 2847 |
"adapter_0::base_model.model.model.layers.4.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2914 |
"target": "model.layers.4.self_attn.qkv_proj.lora_B_slices.2",
|
| 2915 |
"type": "adapter_stacked"
|
| 2916 |
},
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|
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|
|
|
|
| 2917 |
{
|
| 2918 |
"source": [
|
| 2919 |
"adapter_0::base_model.model.model.layers.5.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 2986 |
"target": "model.layers.5.self_attn.qkv_proj.lora_B_slices.2",
|
| 2987 |
"type": "adapter_stacked"
|
| 2988 |
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|
|
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|
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|
|
|
|
|
|
| 2989 |
{
|
| 2990 |
"source": [
|
| 2991 |
"adapter_0::base_model.model.model.layers.6.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 3058 |
"target": "model.layers.6.self_attn.qkv_proj.lora_B_slices.2",
|
| 3059 |
"type": "adapter_stacked"
|
| 3060 |
},
|
|
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|
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|
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|
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|
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|
|
|
|
| 3061 |
{
|
| 3062 |
"source": [
|
| 3063 |
"adapter_0::base_model.model.model.layers.7.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 3130 |
"target": "model.layers.7.self_attn.qkv_proj.lora_B_slices.2",
|
| 3131 |
"type": "adapter_stacked"
|
| 3132 |
},
|
|
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|
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|
|
|
|
| 3133 |
{
|
| 3134 |
"source": [
|
| 3135 |
"adapter_0::base_model.model.model.layers.8.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 3202 |
"target": "model.layers.8.self_attn.qkv_proj.lora_B_slices.2",
|
| 3203 |
"type": "adapter_stacked"
|
| 3204 |
},
|
|
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|
|
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|
|
|
|
|
|
| 3205 |
{
|
| 3206 |
"source": [
|
| 3207 |
"adapter_0::base_model.model.model.layers.9.self_attn.o_proj.lora_A.weight",
|
|
|
|
| 3273 |
],
|
| 3274 |
"target": "model.layers.9.self_attn.qkv_proj.lora_B_slices.2",
|
| 3275 |
"type": "adapter_stacked"
|
|
|
|
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|
|
|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
| 3276 |
}
|
| 3277 |
]
|
| 3278 |
}
|
config.json
CHANGED
|
@@ -5,9 +5,9 @@
|
|
| 5 |
"genai-attack-vector"
|
| 6 |
],
|
| 7 |
"adapter_ranks": [
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
],
|
| 12 |
"adapter_substitute_token_ids": [
|
| 13 |
100264,
|
|
@@ -69,9 +69,7 @@
|
|
| 69 |
"logits_scaling": 4,
|
| 70 |
"lora_target_modules": [
|
| 71 |
"o_proj",
|
| 72 |
-
"qkv_proj"
|
| 73 |
-
"shared_input_linear",
|
| 74 |
-
"shared_output_linear"
|
| 75 |
],
|
| 76 |
"mamba_chunk_size": 256,
|
| 77 |
"mamba_conv_bias": true,
|
|
@@ -82,7 +80,7 @@
|
|
| 82 |
"mamba_n_groups": 1,
|
| 83 |
"mamba_n_heads": 128,
|
| 84 |
"mamba_proj_bias": false,
|
| 85 |
-
"max_lora_rank":
|
| 86 |
"max_position_embeddings": 32768,
|
| 87 |
"model_type": "granite_switch",
|
| 88 |
"num_adapters": 3,
|
|
|
|
| 5 |
"genai-attack-vector"
|
| 6 |
],
|
| 7 |
"adapter_ranks": [
|
| 8 |
+
32,
|
| 9 |
+
32,
|
| 10 |
+
32
|
| 11 |
],
|
| 12 |
"adapter_substitute_token_ids": [
|
| 13 |
100264,
|
|
|
|
| 69 |
"logits_scaling": 4,
|
| 70 |
"lora_target_modules": [
|
| 71 |
"o_proj",
|
| 72 |
+
"qkv_proj"
|
|
|
|
|
|
|
| 73 |
],
|
| 74 |
"mamba_chunk_size": 256,
|
| 75 |
"mamba_conv_bias": true,
|
|
|
|
| 80 |
"mamba_n_groups": 1,
|
| 81 |
"mamba_n_heads": 128,
|
| 82 |
"mamba_proj_bias": false,
|
| 83 |
+
"max_lora_rank": 32,
|
| 84 |
"max_position_embeddings": 32768,
|
| 85 |
"model_type": "granite_switch",
|
| 86 |
"num_adapters": 3,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4592ded273debc664515c23822627b3b7357299410ed4bda6cffb76724ea13ef
|
| 3 |
+
size 741400464
|