empero-ai/Qwen3.8-35B-A3B-Distill
text-generation model by empero-ai
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Model card & documentation
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Developed by Empero Qwen3.8-35B-A3B is a distillation of the Qwen3.8 frontier models into the Qwen3.6-35B-A3B Mixture-of-Experts architecture. The student was trained on curated teacher traces from our internal Qwen3.8 distillation datasets — dense chain-of-thought spanning mathematics, code, general reasoning, instruction following, and tool use, quality-filtered before training. The objective: bring the reasoning behavior of frontier-scale teachers into a sparse 35B that activates only 3B parameters per token and deploys on a single GPU. Measured with lm-evaluation-harness, HF backend, bfloat16, identical settings and seed for base and student. Zero-shot, loglikelihood scoring. The MMLU difference is within noise (standard error 0.003 on each measurement). The ARC gains are outside it. A recent transformers release with Qwen3.6 support is required, along with the…
Read the full model card ↗ · Preview checked 2026-09-21T09:42:44.418Z
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- Qwen3.8-35B-A3B
- Highlights
- Model Overview
- Benchmark Results
- Quickstart
- Best Practices
- Limitations
- Stay in the loop
- Support / Donate
- Provenance & licensing
- Acknowledgements
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Model overview
empero-ai/Qwen3.8-35B-A3B-Distill is a text-generation model repository published by empero-ai on Hugging Face. The source reports the transformers library.
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Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 3,839
- Cumulative likes
- 52
- Hugging Face trending score
- 52
- Reported safetensors parameters
- 35,107,181,936
- Architecture
- Qwen3_5MoeForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-16T13:51:47.000Z
- Last modified
- 2026-09-16T18:47:23.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3.6-35B-A3B
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 2026-09-21T06:36:47.722Z. Daily imports are snapshots, not real-time monitoring.
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