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mgaruccio/Muse-Glimmer-30B-assistant-GPTQ-Int4-sym-G128
Muse-Glimmer-30B-assistant-GPTQ-Int4-sym-G128 is a text generation model from mgaruccio. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
GPTQ 4-bit / group-128 / symmetric of Muse Glimmer's 5-layer DFlash drafter. Apache 2.0, derived from Meta's DFlash assistant (not a standalone chat model).
Downloads · 30 days
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From the Hugging Face model README
GPTQ 4-bit / group-128 / symmetric of Muse Glimmer's 5-layer DFlash drafter. Apache 2.0, derived from Meta's DFlash assistant (not a standalone chat model).
Use as the speculative draft for vLLM-XPU on one Arc Pro B70 with Muse-Glimmer-30B-GPTQ-Int4-sym-G128. Embeddings and lm_head are shared with the target at runtime.
quantize_config.json: qkv_proj, o_proj, gate_up_proj, down_projThe C8–C128 short-burst sweep used this assistant with an experimental frozen
32,768-token vocabulary shortlist and DFlash K3. Download the public-safe
runtime input from artifacts/glimmer-b70-k3-shortlist-32768.json.
It contains only the immutable original-vocabulary IDs and contract metadata—no
calibration prompts, votes, raw generations, or model weights.
This is not the default recipe or a production capacity claim. Its highest
observed short-burst median was 840.8 aggregate tok/s at C96; C48 was the
workload-specific latency/throughput knee. The measured workload used repeated
83-token prompts and capped 256-token reasoning-only outputs. See the
presentation report
for methodology, caveats, and the exact source patch at
b70-inference@faf4ba9.
hf download mgaruccio/Muse-Glimmer-30B-assistant-GPTQ-Int4-sym-G128 --local-dir ./models/draft