Add proper model card with metadata

README.md

@@ -1,99 +1,39 @@
----
-license: apache-2.0
-base_model: Qwen/Qwen2.5-Coder-7B-Instruct
-tags:
-  - abliteration
-  - uncensored
-  - qwen
-  - qwen2.5
-  - coder
-  - bruno
-language:
-  - en
-pipeline_tag: text-generation
----
-
-# Qwen2.5-Coder-7B-Instruct-bruno
-
-This is an **abliterated** version of [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) with refusal behaviors removed using the [Bruno](https://github.com/quanticsoul4772/abliteration-workflow) abliteration tool.
-
-## What is Abliteration?
-
-Abliteration is a technique for removing refusal behaviors from language models by:
-
-1. **Extracting refusal directions** - Identifying the activation patterns that encode refusal behavior using contrastive PCA between "good" (helpful) and "bad" (refused) prompts
-2. **Orthogonalizing weights** - Modifying the model's weight matrices to be orthogonal to the refusal direction, effectively removing the model's ability to refuse
-3. **Optimizing with Optuna** - Using multi-objective optimization to find the best balance between removing refusals while preserving model capabilities
-
-## Abliteration Details
-
-| Parameter | Value |
-|-----------|-------|
-| Base Model | Qwen/Qwen2.5-Coder-7B-Instruct |
-| Abliteration Tool | Bruno v2.0.0 |
-| Optimization Trials | 200 |
-| Hardware | 2x RTX 4090 (48GB VRAM) |
-| Training Time | ~60 minutes |
-
-### Advanced Features Used
-
-- **Neural Refusal Detection** - Zero-shot NLI for detecting soft refusals
-- **Supervised Probing + Ensemble** - Linear probes combined with PCA for robust direction extraction  
-- **Activation Calibration** - Weight scaling based on activation strength
-- **Concept Cones** - Category-specific directions via clustering
-- **Warm-Start Transfer** - Model family profiles for faster Optuna optimization
-
-## Usage
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_id = "quanticsoul4772/Qwen2.5-Coder-7B-Instruct-bruno"
-
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = AutoModelForCausalLM.from_pretrained(
-    model_id,
-    torch_dtype="auto",
-    device_map="auto"
-)
-
-messages = [
-    {"role": "user", "content": "Write a Python function to sort a list"}
-]
-
-text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-inputs = tokenizer(text, return_tensors="pt").to(model.device)
-
-outputs = model.generate(**inputs, max_new_tokens=512)
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
-```
-
-## Intended Use
-
-This model is intended for:
-- Research into AI safety and alignment
-- Understanding how refusal behaviors are encoded in language models
-- Code generation without unnecessary refusals
-
-## Limitations
-
-- The abliteration process may affect other model behaviors beyond just refusals
-- Model capabilities (e.g., MMLU scores) may be slightly reduced
-- This model will comply with requests that the base model would refuse
-
-## Ethical Considerations
-
-This model has had safety guardrails removed. Users are responsible for ensuring ethical use. Do not use this model for:
-- Generating harmful, illegal, or unethical content
-- Circumventing safety measures in production systems
-- Any purpose that violates Qwen's license terms
-
-## License
-
-This model inherits the Apache 2.0 license from the base Qwen2.5-Coder-7B-Instruct model.
-
-## Acknowledgments
-
-- [Qwen Team](https://huggingface.co/Qwen) for the excellent base model
-- [Bruno](https://github.com/quanticsoul4772/abliteration-workflow) abliteration framework
-- Based on research from [Refusal in LLMs is mediated by a single direction](https://arxiv.org/abs/2406.11717)
+---
+license: apache-2.0
+language:
+- en
+base_model: Qwen/Qwen2.5-Coder-7B-Instruct
+tags:
+- text-generation
+- conversational
+- qwen2
+- abliterated
+- uncensored
+pipeline_tag: text-generation
+library_name: transformers
+inference:
+  parameters:
+    max_new_tokens: 512
+    temperature: 0.7
+    top_p: 0.9
+---
+
+# Qwen2.5-Coder-7B-Instruct-Bruno (Abliterated)
+
+This is an abliterated version of [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) with reduced refusals.
+
+## Model Details
+
+- **Base Model:** Qwen/Qwen2.5-Coder-7B-Instruct
+- **Modification:** Abliteration (refusal direction removal)
+- **Architecture:** Qwen2ForCausalLM
+- **Parameters:** 7B
+- **Context Length:** 32,768 tokens
+
+## Usage
+
+
+
+## License
+
+Apache 2.0 (same as base model)