Instructions to use Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce")
model = AutoModelForCausalLM.from_pretrained("Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce", device_map="auto")
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 Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce

SGLang

How to use Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce 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 "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce" \
    --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": "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce",
		"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 "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce" \
        --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": "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce with Docker Model Runner:
```
docker model run hf.co/Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce
```

Yingyaeliae commited on 26 days ago

Commit

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@@ -1,199 +1,169 @@
 ---
 library_name: transformers
-tags: []
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-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-## Uses
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 ---
+base_model:
+- PocketDoc/Dans-PersonalityEngine-V1.3.0-24b
+- llmfan46/MS3.2-PaintedFantasy-v4.1-24B-ultra-uncensored-heretic-v1
+- coder3101/Magidonia-24B-v4.3-heretic
+- PocketDoc/Dans-PersonalityEngine-V1.3.0-24b
+- aixonlab/Eurydice-24b-v3.5
+- coder3101/Cydonia-24B-v4.3-heretic
+- ReadyArt/Dark-Nexus-24B-v2.0
+- ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0
+- ReadyArt/Broken-Tutu-24B-Transgression-v2.0
+- OddTheGreat/Rotor_24B_V.1
+- anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
+- MuXodious/WeirdCompound-v1.7-24b-absolute-heresy
 library_name: transformers
+tags:
+- mergekit
+- merge
+- roleplay
+- converstaion
+- model_stock
+- dare-ties
+- multi-merge
+- mistral
+- 24b
+- uncensored
+- heretic
+- thinking
+- conversational
+- heretic
+- uncensored
+- decensored
+- abliterated
+license: apache-2.0
 ---
+# This is a decensored version of [ShyliaSafetensors/Ariel-Alloy-V1-24B-Heretic](https://huggingface.co/ShyliaSafetensors/Ariel-Alloy-V1-24B-Heretic), made using [Heretic](https://heretic-project.org) v1.4.0
+## Abliteration parameters
+| Parameter | Value |
+| :-------- | :---: |
+| **direction_index** | 22.40 |
+| **attn.o_proj.max_weight** | 1.41 |
+| **attn.o_proj.max_weight_position** | 37.98 |
+| **attn.o_proj.min_weight** | 0.93 |
+| **attn.o_proj.min_weight_distance** | 23.04 |
+| **mlp.down_proj.max_weight** | 1.33 |
+| **mlp.down_proj.max_weight_position** | 31.85 |
+| **mlp.down_proj.min_weight** | 0.63 |
+| **mlp.down_proj.min_weight_distance** | 14.05 |
+## Performance
+| Metric | This model | Original model ([ShyliaSafetensors/Ariel-Alloy-V1-24B-Heretic](https://huggingface.co/ShyliaSafetensors/Ariel-Alloy-V1-24B-Heretic)) |
+| :----- | :--------: | :---------------------------: |
+| **KL divergence** | 0.0235 | 0 *(by definition)* |
+| **Refusals** | 2/100 | 9/100 |
+-----
+# Ariel-Alloy-V1-24B-Heretic
+![banner](sparkle.gif)
+The goal was creating good/stable Role-Play model with merging multiple models with multiple steps.
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). Then used [Heretic](https://github.com/p-e-w/heretic) to remove refusals
+## Abliteration / Heretic Stats
+| Metric | Before | After |
+|---|---|---|
+| Refusal rate | 98 / 100 | 10 / 100 |
+| KL Divergence | 0 | 0.0152 |
+---
+## Merge Details
+### Merge Methods
+This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp), [Dare-Ties](https://arxiv.org/abs/2311.03099), and [Model Stock](https://arxiv.org/abs/2403.19522) merge method.
+### Configurations
+The following YAML configurations was used to produce this model:
+Step 1:
+```yaml
+merge_method: dare_ties
+base_model: MS3.2-PaintedFantasy-v4.1-24B-ultra-uncensored-heretic-v1
+models:
+  - model: Magidonia-24B-v4.3-heretic
+    parameters:
+      density: 0.65
+      weight: 0.65
+      rescale: true
+  - model: Dans-PersonalityEngine-V1.3.0-24b
+    parameters:
+      density: 0.65
+      weight: 0.65
+      rescale: true
+  - model: Cydonia-24B-Heretic-v4
+    parameters:
+      density: 0.65
+      weight: 0.50
+      rescale: true
+  - model: Rotor_24B_V.1
+    parameters:
+      density: 0.65
+      weight: 0.45
+      rescale: true
+  - model: MS3.2-The-Omega-Directive-24B-Unslop-v2.0
+    parameters:
+      density: 0.65
+      weight: 0.60
+      rescale: true
+  - model: Dark-Nexus-24B-v2.0
+    parameters:
+      density: 0.65
+      weight: 0.55
+      rescale: true
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+name: ArielRefined-V1-DareTies
+```
+Step 2:
+```yaml
+merge_method: model_stock
+base_model: Dans-PersonalityEngine-V1.3.0-24b
+filter_wise: true # stable
+models:
+  - model: Broken-Tutu-24B-Transgression-v2.0
+  - model: MS3.2-PaintedFantasy-v4.1-24B-ultra-uncensored-heretic-v1
+  - model: WeirdCompound-v1.7-24b-absolute-heresy
+  - model: Dans-PersonalityEngine-V1.3.0-24b
+  - model: Mistral-Small-3.2-24B-Instruct-2506-Text-Only
+  - model: Eurydice-24b-v3.5
+dtype: bfloat16
+name: ArielRefined-Model_stock
+```
+Step 3:
+```yaml
+merge_method: slerp
+base_model: ArielRefined-V1-DareTies
+parameters:
+  t: 0.50 # 50-50
+models:
+  - model: ArielRefined-Model_stock
+dtype: bfloat16
+name: Ariel-Alloy
+```