a466890984/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic
text-generation model by a466890984
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From the publisher
Model card & documentation
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Click here for the 4B version. 🧬 From DeepSeek-V4-Pro to a Compact 9B Student 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. Evaluation configuration: DeepSeek-V4-Pro-Qwen3.5-9B-NVFP4 · NVFP4 (FP8 E4M3) · vLLM · four GSM8K test runs, with the final 94.50% reported as their arithmetic mean. The reference scores for the other models shown above are sourced from the openai/gsm8k repository. 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. 📈 vs. Qwen3.5-9B+1.80 points in Math, +0.40 in…
Read the full model card ↗ · Preview checked 2026-11-12T07:39:22.228Z
Inside the original model card — Document outline
- This is a decensored version of Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B, made using Heretic v2.0.0.dev0
- Arbitrary-Rank Ablation (ARA) parameters
- Performance
- 🤝 Collaboration & Training Support
- 🔬 1. Distillation & Training Data
- 📊 2. Benchmark Results
- 2.1 GSM8K
- 2.2 MMLU-Pro: Math, Physics & Chemistry
- 2.3 Inference Efficiency
- 🛠️ 3. Generalization Beyond the Training Mix
- ✅ 4. Instruction Following & Output-Format Compliance
- 🎮 Game Showcase: Star Skip by Kyle
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
a466890984/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic is a text-generation model repository published by a466890984 on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 9,409,813,744
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-12T06:28:26.000Z
- Last modified
- 2026-11-12T06:28:27.000Z
Compatibility and lineage
Reported languages: en, zh, ko, ja, es, ru
Reported base models: Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-12T06:57:10.640Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.