halogen β Qwen3.8-27B for AMD Strix Halo
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.
What is here
qwen3.8-27b-p1w4d-d2.hgn 35.9 GB checkpoint
tokenizer/ flat tokenizer directory
Use
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:0.1.0
An OpenAI-compatible endpoint comes up on :8731. Full documentation is in
the engine repository.
Precision
~6.3 bits/weight effective at decode. Two thirds of the bytes decode streams are 8-bit or wider β 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 β the
NVFP4 quantization published in unsloth/Qwen3.8-27B-NVFP4 β rather than
values we produced. Homemade quantization is used only where no donor exists.
Speculative decoding weights
This checkpoint additionally carries two drafter heads, both trained by us:
- an MTP head fine-tune, and
- DFlash2, a block drafter (5 layers, ~2.2B parameters).
Speculative decoding with either is byte-identical to serial greedy decode β 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.
Provenance and license
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 β 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 β see the engine repository.
Model tree for peonist-ai/halogen-qwen3.8-27b
Base model
Qwen/Qwen3.8-27B