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vcruz305/Muse-Glimmer-30B-Hermes-Agentic-NVFP4
Muse-Glimmer-30B-Hermes-Agentic-NVFP4 is a image-text-to-text model from vcruz305. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
NVFP4 (compressed-tensors / nvfp4-pack-quantized) export of the Hermes-agentic Muse Glimmer 30B student.
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From the Hugging Face model README
NVFP4 (compressed-tensors / nvfp4-pack-quantized) export of the Hermes-agentic Muse Glimmer 30B student.
quantization_config.format: nvfp4-pack-quantizedquant_method: compressed-tensorslm_head / linear-attn / MTP paths ignored in the NVFP4 recipe (see recipe.yaml)hf download vcruz305/Muse-Glimmer-30B-Hermes-Agentic-NVFP4 \
--local-dir $HOME/models/Muse-Glimmer-30B-Hermes-Agentic-NVFP4
export MODEL=$HOME/models/Muse-Glimmer-30B-Hermes-Agentic-NVFP4
# from https://github.com/vcruz305/muse-glimmer-nvfp4-spark-serve
bash scripts/launch_sglang_nvfp4_spark.sh
Critical SM121 flags (do not leave on auto):
--fp4-gemm-backend flashinfer_cutlass--cuda-graph-backend-decode full--cuda-graph-backend-prefill disabled--reasoning-parser muse + --tool-call-parser muse--language-model-onlyvLLM secondary path is in the same recipe repo (scripts/launch_vllm_nvfp4.sh).
Host: DGX Spark GB10 · endpoint OpenAI-compatible · policy strict · thinking on · limit 20 · sixcat ≥0.4.4 · full 120 after --retry remaining.
| Category | Score |
|---|---|
| knowledge | 75.0 |
| math | 100.0 |
| truth | 85.0 |
| instruct | 90.0 |
| code | 85.0 |
| tools | 80.0 |
| overall[strict] | 85.8 |
Suite throughput ≈ 11.9 tok/s on that run. Instruct/code still carried length/loop flags.
Hermes-agentic SFT of Muse Glimmer so the model calls one or two tools and stops. Vision weights remain in the tree but were frozen for the text/tools student. This repo is the NVFP4 deployable of that merge — not a second SFT.
recipe.yaml in-repo)http://127.0.0.1:8201/v1 with model id muse-glimmer-30b-nvfp4.