Downloads · 30 days
50
40% of all-time downloads
BCCard/MoAI-gemma-4-26B-A4B-it-speculator.eagle3
MoAI-gemma-4-26B-A4B-it-speculator.eagle3 is a machine learning model from BCCard. 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 speculators. The card lists the license as apache-2.0.
An EAGLE-3 draft (speculator) for accelerating Korean generation from gemma-4-26B-A4B-it (Gemma 4 MoE; 26B total, ~4B active) via speculative decoding. The public RedHat draft is English-only (Magpie + UltraChat) and…
Downloads · 30 days
50
40% of all-time downloads
All-time downloads
125
Public
Parameters
928M
2.3 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors1.9 GB · 82%
How the weights are stored.
BF16928M · 100%
From the Hugging Face model README
An EAGLE-3 draft (speculator) for accelerating Korean generation from
gemma-4-26B-A4B-it (Gemma 4 MoE; 26B total, ~4B active) via speculative decoding.
The public RedHat draft is English-only (Magpie + UltraChat) and accepts Korean
tokens poorly, so this draft was retrained on Korean prompts with on-policy
responses regenerated by the verifier.
vllm-project/speculators)RedHatAI/gemma-4-26B-A4B-it-FP8-Dynamic (FP8 MoE; serving + hidden-state extraction)RedHatAI/gemma-4-26B-A4B-it-speculator.eagle3instruction column only). Answers regenerated on-policy by the verifier (text-only).VLLM_USE_FLASHINFER_SAMPLER=0 vllm serve RedHatAI/gemma-4-26B-A4B-it-FP8-Dynamic -tp 1 \
--max-model-len 4096 \
--limit-mm-per-prompt '{"image":0,"audio":0,"video":0}' \
--speculative-config '{
"model": "<this-repo-id>",
"num_speculative_tokens": 3,
"method": "eagle3",
"draft_tensor_parallel_size": 1
}'
Tune num_speculative_tokens (3–6) on measured acceptance / TPS. The draft uses the
verifier's tokenizer and chat template. The 26B-A4B is multimodal; for text workloads
pass --limit-mm-per-prompt to disable image/audio/video.
out of resource: shared memory error, use a vLLM MoE
fallback config or the NVFP4 path.RedHatAI/gemma-4-26B-A4B-it-FP8-Dynamic. Pairing
with a different target (or a base, non--it model) will change results.Apache 2.0. The base Gemma 4 (Apache 2.0), the RedHat FP8 verifier (Apache 2.0), and the RedHat EAGLE-3 warm-start checkpoint (Apache 2.0) are all Apache 2.0, so this draft is released under Apache 2.0 as well. (Informational, not legal advice.)