Add model card via Heretic upload

README.md

@@ -1,25 +1,63 @@
 ---
-license: other
+license: apache-2.0
 base_model: datalab-to/lift
 tags:
+- multimodal
+- qwen2vl
+- vision
 - uncensored
 - heretic
 - abliteration
-- multimodal
-- qwen2vl
+- custom_code
+language:
+- en
+pipeline_tag: image-text-to-text
 ---
 
-# Hydra-Turbo (Abliterated datalab-to/lift)
+# Hydra-Turbo (Abliterated Vision-Language Model)
+
+**Hydra-Turbo** is a dynamically uncensored and abliterated version of [`datalab-to/lift`](https://huggingface.co/datalab-to/lift) (which is built on the Qwen2VL architecture). This model was created using the [Heretic framework](https://github.com/p-e-w/heretic), employing advanced orthogonal weight ablation to remove refusal vectors while completely preserving the model's underlying reasoning, intelligence, and multimodal capabilities.
+
+## 🔬 Ablation Methodology & Metrics
+Unlike traditional fine-tuning or full RLHF—which can cause "brain damage" to a model by catastrophically forgetting knowledge—Hydra-Turbo was optimized using a Pareto-optimal search across multiple ablation vectors. 
+
+The selected optimal trial yielded the following metrics on the standard refusal test set:
+- **Baseline Refusal Rate:** 98.0%
+- **Post-Ablation Refusal Rate:** 11.0%
+- **KL Divergence (Brain Damage Metric):** 0.0275
+
+At a KL divergence of just `0.0275`, the structural integrity and logic capabilities of the base model are perfectly intact. It simply no longer refuses instructions.
+
+## 🚀 Key Features
+- **Multimodal Uncensored Generation:** Can process images and text without artificial guardrails.
+- **Qwen2VL Architecture:** Inherits state-of-the-art vision parsing capabilities.
+- **Drop-in Replacement:** Compatible with any standard `transformers` or `vLLM` pipeline that supports Qwen2VL.
+
+## 💻 Usage
+
+### Via HuggingFace Transformers
+You can load the model exactly as you would any Qwen2VL model, ensuring you have `pillow` and `torchvision` installed:
+```python
+from transformers import AutoProcessor, Qwen2VLForConditionalGeneration
 
-This model is a dynamically uncensored/abliterated version of [`datalab-to/lift`](https://huggingface.co/datalab-to/lift). 
-It was created using the [Heretic](https://github.com/p-e-w/heretic) framework by selectively removing refusal vectors while preserving the original intelligence and capabilities of the model.
+model_id = "Umranz/Hydra-Turbo"
+processor = AutoProcessor.from_pretrained(model_id)
+model = Qwen2VLForConditionalGeneration.from_pretrained(
+    model_id, 
+    torch_dtype="auto", 
+    device_map="auto"
+)
+```
 
-## Ablation Stats
-- **Baseline Refusal Rate:** 98%
-- **Post-Ablation Refusal Rate:** 11%
-- **KL Divergence:** 0.0275
+### Chat Format
+Hydra-Turbo uses the default chat template inherited from its base model. Ensure you use the standard conversational API for multi-turn dialogue.
 
-The model has suffered virtually zero brain damage during the uncensoring process. 
+## ⚠️ Limitations & Ethical Considerations
+Because this model has had its safety guardrails mathematically ablated, it is highly compliant and will attempt to answer any prompt given to it.
+- **Unrestricted Output:** The model will not refuse requests, including those that may generate offensive, dangerous, or highly regulated content.
+- **Hallucinations:** As with all LLMs, the model can confidently hallucinate incorrect information.
+- **Use Case:** This model is intended for research, creative writing, and local deployments where unrestricted inference is required. Users are solely responsible for the content generated.
 
-## Usage
-This model is fully compatible with any inference engine that supports the Qwen2VL architecture (e.g., vLLM, transformers).
+## 📚 Acknowledgements
+- **Base Model:** [`datalab-to/lift`](https://huggingface.co/datalab-to/lift)
+- **Ablation Framework:** [Heretic by p-e-w](https://github.com/p-e-w/heretic)