# DeepSeek V4 Pro Qwen3.5 9B UNCENSORED Heretic

URL: https://interfaze.ai/models/xtools-atdeepseek-v4-pro-qwen35-9b-uncensored-heretic

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DeepSeek V4 Pro Qwen3.5 9B UNCENSORED Heretic by xtools-at, a text-generation model with multimodal capabilities. Understand and compare multimodal features, benchmarks, and capabilities.

## Comparison

| Feature | DeepSeek V4 Pro Qwen3.5 9B UNCENSORED Heretic | Interfaze |
| --- | --- | --- |
| Input Modalities | text, image | image, text, audio, video, document |
| Native OCR | No | Yes |
| Long Document Processing | No | Yes |
| Language Support | 6 partial | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | 262.1K | 1M |
| Tool Calling | Yes | Tool calling supported + built in browser, code execution and web search |

### Scaling

| Feature | DeepSeek V4 Pro Qwen3.5 9B UNCENSORED Heretic | Interfaze |
| --- | --- | --- |
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)

View model card on [Hugging Face](https://huggingface.co/xtools-at/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic)

## Arbitrary-Rank Ablation (ARA) parameters

| Parameter | Value |
| --- | --- |
| start\_layer\_index | 9 |
| end\_layer\_index | 24 |
| preserve\_good\_behavior\_weight | 0.8264 |
| steer\_bad\_behavior\_weight | 0.0003 |
| overcorrect\_relative\_weight | 0.9645 |
| neighbor\_count | 12 |

## Performance

| Metric | This model | Original model (Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B) |
| --- | --- | --- |
| Refusals | 3/100 | 100/100 |
| KL divergence | 0.0422 | 0 (by definition) |

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## 🤝 Collaboration & Training Support

## 🔬 1. Distillation & Training Data

## 📊 2. Benchmark Results

### 2.1 GSM8K

The NVFP4 checkpoint was evaluated on GSM8K **four times**, and the resulting scores were averaged. Its **four-run mean accuracy is 94.50%** under vLLM. In the comparison supplied with this release, the 9B student slightly exceeds the reported DeepSeek-V4-Pro teacher result and approaches the Llama-3.3-70B-Instruct reference.

### 2.2 MMLU-Pro: Math, Physics & Chemistry

Each model was evaluated on **500 questions from each of three MMLU-Pro subsets**—Math, Physics, and Chemistry—for **1,500 questions per model**. In this reported comparison, **DeepSeek-V4-Pro-Qwen3.5-9B** achieves the highest average at **90.53%**. Its compact 4B sibling is now included alongside the Qwen and Claude Mythos-distilled references.

### 2.3 Inference Efficiency

## 🛠️ 3. Generalization Beyond the Training Mix

## ✅ 4. Instruction Following & Output-Format Compliance

## 🎮 Game Showcase: Star Skip by Kyle

## 🎯 5. Recommended Uses

-   Mathematical problem solving and step-by-step derivation
-   Physics, chemistry, and broader STEM question answering
-   Structured reasoning and analytical instruction following
-   Research on reasoning distillation and cross-domain SFT transfer
-   Experimental tool-calling or programming workflows where outputs are independently validated

## ⚠️ 6. Limitations

-   This is an experimental 9B community model and remains subject to hallucinations, reasoning errors, and unstable behavior on difficult or underspecified tasks.
-   The reported MMLU-Pro results are based on 500 randomly sampled questions from each of the Math, Physics, and Chemistry subsets, rather than the complete subsets; they are not a comprehensive capability or safety evaluation.
-   GSM8K and MMLU-Pro used different inference builds and backends, so their scores should not be used to infer quantization equivalence.
-   Programming and tool-use gains were observed without direct coding supervision but are described only as small, preliminary generalization gains.
-   Users should independently verify high-stakes mathematical, scientific, or factual outputs.

## 📚 7. Resources, Acknowledgements & Citation

## Want more deterministic results?

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)