empero-ai/Qwen3.8-35B-A3B-Distill-GGUF
text-generation model by empero-ai
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Model card & documentation
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Developed by Empero GGUF quantizations of empero-ai/Qwen3.8-35B-A3B-Distill — a distillation of the Qwen3.8 frontier models into the Qwen3.6-35B-A3B Mixture-of-Experts architecture — for llama.cpp, Ollama, LM Studio, Jan, KoboldCpp, and other stock GGUF runtimes. This card is about choosing a file and running it. The capability writeup, benchmark results, and best practices live on the main model card. 35B total parameters with 3B active per token — the MoE sparsity means it runs considerably faster than a dense 35B at the same quant, but the whole weight file still has to fit in RAM or VRAM. The IQ\ quants and the 2/3-bit K-quants are calibrated with an importance matrix, which is what keeps them coherent at these bit-widths. Sizes are exact decimal GB from the uploaded files (1 GB = 1,000,000,000 bytes). Weight-size guidance at modest context. The KV cache is the dominant cost at long context and may require offload…
Read the full model card ↗ · Preview checked 2026-10-29T20:29:23.848Z
Inside the original model card — Document outline
- Qwen3.8-35B-A3B — GGUF
- Files
- What fits?
- Usage
- llama.cpp
- Vision
- Ollama / LM Studio / Jan / KoboldCpp
- Verifying downloads
- Provenance & licensing
- Stay in the loop
- Support / Donate
- Acknowledgements
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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
empero-ai/Qwen3.8-35B-A3B-Distill-GGUF is a text-generation model repository published by empero-ai on Hugging Face. The source reports the gguf 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
- gguf
- Recent downloads (30 days)
- 1,268,674
- Cumulative likes
- 256
- Hugging Face trending score
- 16
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-16T18:58:46.000Z
- Last modified
- 2026-09-16T21:28:58.000Z
Compatibility and lineage
Reported languages: en
Reported base models: empero-ai/Qwen3.8-35B-A3B-Distill
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-02T06:52:12.426Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.