Text Generation
Transformers
Safetensors
mistral
fp8
vllm
compressed-tensors
quantized
llmcompressor
conversational
text-generation-inference
Instructions to use sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic") model = AutoModelForCausalLM.from_pretrained("sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic
- SGLang
How to use sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic 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 "sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic" \ --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": "sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic", "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 "sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic" \ --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": "sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic with Docker Model Runner:
docker model run hf.co/sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic
Upload folder using huggingface_hub
Browse files- chat_template.jinja +1 -0
- config.json +73 -0
- generation_config.json +7 -0
- model-00001-of-00026.safetensors +3 -0
- model-00002-of-00026.safetensors +3 -0
- model-00003-of-00026.safetensors +3 -0
- model-00004-of-00026.safetensors +3 -0
- model-00005-of-00026.safetensors +3 -0
- model-00006-of-00026.safetensors +3 -0
- model-00007-of-00026.safetensors +3 -0
- model-00008-of-00026.safetensors +3 -0
- model-00009-of-00026.safetensors +3 -0
- model-00010-of-00026.safetensors +3 -0
- model-00011-of-00026.safetensors +3 -0
- model-00012-of-00026.safetensors +3 -0
- model-00013-of-00026.safetensors +3 -0
- model-00014-of-00026.safetensors +3 -0
- model-00015-of-00026.safetensors +3 -0
- model-00016-of-00026.safetensors +3 -0
- model-00017-of-00026.safetensors +3 -0
- model-00018-of-00026.safetensors +3 -0
- model-00019-of-00026.safetensors +3 -0
- model-00020-of-00026.safetensors +3 -0
- model-00021-of-00026.safetensors +3 -0
- model-00022-of-00026.safetensors +3 -0
- model-00023-of-00026.safetensors +3 -0
- model-00024-of-00026.safetensors +3 -0
- model-00025-of-00026.safetensors +3 -0
- model-00026-of-00026.safetensors +3 -0
- model.safetensors.index.json +0 -0
- recipe.yaml +6 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
chat_template.jinja
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{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + '[/INST]' }}{% elif message['role'] == 'system' %}{{ '[SYSTEM_PROMPT] ' + message['content'] + '[/SYSTEM_PROMPT]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + message['content'] + eos_token }}{% else %}{{ raise_exception('Only user, system and assistant roles are supported!') }}{% endif %}{% endfor %}
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dtype": "bfloat16",
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 12288,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 96,
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"num_hidden_layers": 88,
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"num_key_value_heads": 8,
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"quantization_config": {
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"config_groups": {
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"group_0": {
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"format": "float-quantized",
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"input_activations": {
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"actorder": null,
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"block_structure": null,
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"dynamic": true,
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"group_size": null,
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"num_bits": 8,
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"observer": null,
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"observer_kwargs": {},
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"strategy": "token",
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"symmetric": true,
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"type": "float"
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},
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"output_activations": null,
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"targets": [
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"Linear"
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],
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"weights": {
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"actorder": null,
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"block_structure": null,
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"dynamic": false,
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"group_size": null,
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"num_bits": 8,
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"observer": "minmax",
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"observer_kwargs": {},
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"strategy": "channel",
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"symmetric": true,
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"type": "float"
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}
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}
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},
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"format": "float-quantized",
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"global_compression_ratio": null,
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"ignore": [
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"lm_head"
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],
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"kv_cache_scheme": null,
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"quant_method": "compressed-tensors",
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"quantization_status": "compressed",
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"sparsity_config": {},
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"transform_config": {},
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"version": "0.11.0"
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},
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.55.2",
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"use_cache": true,
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"vocab_size": 32768
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.55.2"
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}
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model-00022-of-00026.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e5df85ee1ffe9f415abe8aa7b31719a3491243202310460565af63a74cbc25a6
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size 4832680552
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model-00023-of-00026.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea56291c08095bef5b8aec740520de48c0c73cedec7fe7d6b7bb2525d2f29f01
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size 4857866352
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model-00024-of-00026.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b210e9c53bb829666bd4db3f342dc9bd4a925ea868c8fcde7dc4decfb21d966
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size 4832680552
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model-00025-of-00026.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8042517e27ce09707bf2ab26d2906e1b8829f7af199a5fbbda9d4aab8c776fd
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size 4857866352
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model-00026-of-00026.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d6acacea642b11e1839d6becec8e0c8b4ce00e09811a519614fc697e8490f61
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size 2189695048
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model.safetensors.index.json
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recipe.yaml
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default_stage:
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default_modifiers:
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QuantizationModifier:
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targets: [Linear]
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ignore: [lm_head]
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| 6 |
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scheme: FP8_DYNAMIC
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special_tokens_map.json
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{
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"bos_token": {
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| 3 |
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"content": "<s>",
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| 4 |
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"lstrip": false,
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| 5 |
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"normalized": false,
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| 6 |
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"rstrip": false,
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| 7 |
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"single_word": false
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| 8 |
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},
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| 9 |
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"eos_token": {
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| 10 |
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"content": "</s>",
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| 11 |
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"lstrip": false,
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| 12 |
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"normalized": false,
|
| 13 |
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"rstrip": false,
|
| 14 |
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"single_word": false
|
| 15 |
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},
|
| 16 |
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"pad_token": {
|
| 17 |
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"content": "</s>",
|
| 18 |
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"lstrip": false,
|
| 19 |
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"normalized": false,
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| 20 |
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"rstrip": false,
|
| 21 |
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"single_word": false
|
| 22 |
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},
|
| 23 |
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"unk_token": {
|
| 24 |
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"content": "<unk>",
|
| 25 |
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"lstrip": false,
|
| 26 |
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"normalized": false,
|
| 27 |
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"rstrip": false,
|
| 28 |
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"single_word": false
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| 29 |
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}
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}
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tokenizer.json
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tokenizer.model
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:1b968b8dc352f42192367337c78ccc61e1eaddc6d641a579372d4f20694beb7a
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| 3 |
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size 587562
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tokenizer_config.json
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