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peonist-ai/halogen-qwen3.8-27b
halogen-qwen3.8-27b is a machine learning model from peonist-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for halogen. The card lists the license as apache-2.0.
<p align="center" <img src="halogen.jpg" alt="halogen — the peon's inference engine" width="760" </p
Downloads · 30 days
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Updated Sep 15, 2026
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35.9 GB
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.hgn35.9 GB · 100%
From the Hugging Face model README
Weights for halogen, a dedicated inference engine for Qwen3.8-27B on AMD Strix Halo (gfx1151).
These weights are in halogen's own .hgn format and will not load in
transformers, vLLM, or llama.cpp. They exist to be mounted into the halogen
container.
qwen3.8-27b-p1w4d-d2.hgn 35.9 GB checkpoint
tokenizer/ flat tokenizer directory
hf download peonist-ai/halogen-qwen3.8-27b --local-dir ~/halogen-models
docker run --rm -p 8731:8731 \
--device /dev/kfd --device /dev/dri --group-add keep-groups \
--security-opt seccomp=unconfined --ipc=host \
-v ~/halogen-models:/models:ro \
-v ~/halogen-models/tokenizer:/tokenizer:ro \
ghcr.io/peonist-ai/halogen:0.1.4
An OpenAI-compatible endpoint comes up on :8731. Full documentation is in
the engine repository.
~6.3 bits/weight effective at decode. Two thirds of the bytes decode streams are 8-bit or wider — the aggressive 4-bit path is fenced to prefill and never touches token generation.
| file size | 35.9 GB, 1352 tensors |
| bytes decode streams | 23.5 GB |
| effective decode precision | 6.32 bpw over 29.75B params |
| 4-bit trunk tensors | FFN only, imported NVFP4 values |
| everything else | FP8 rows, BF16 embeddings and norms |
The only 4-bit trunk tensors carry values calibrated by someone else — the
NVFP4 quantization published in unsloth/Qwen3.8-27B-NVFP4 — rather than
values we produced. Homemade quantization is used only where no donor exists.
This checkpoint additionally carries two drafter heads, both trained by us:
Speculative decoding with either is byte-identical to serial greedy decode — the drafter only proposes, and a token is emitted only if the full model would have produced it. It is a speed optimization with no quality cost, and it can be disabled per request.
Derived from Qwen3.8-27B, with 4-bit values imported from
unsloth/Qwen3.8-27B-NVFP4. These weights are a derivative work and are
governed by the license of the original model — see the
base model for those terms. Verify
them yourself before commercial use; nothing here grants rights the upstream
license does not.
The halogen engine is separate, closed source, and distributed under its own terms — see the engine repository.