4× RTX PRO 6000
81.7tok/sEveryday
1 request, prose prompt, with MTP Source
Intelligence34with thinkingno thinking 22
- ≤ 3 bit: quantization may cost quality
Local AI · Recipe · 4× RTX PRO 6000
GLM-5.2 NVFP4 with vLLM on 4× RTX PRO 6000 (192k context)
GLM-5.2 NVFP4 with vLLM on 4× RTX PRO 6000 (192k context): 64 tok/s according to github.com (dataset as of Nov 3, 2026).
Intelligence (original model) · Artificial Analysis34with thinkingno thinking 22
≤ 3 bit: quantization may cost quality
Engine
- Engine
- vLLM
- Quantization
- MXFP8/NVFP4/NF3-Hybrid weights + NVFP4 MLA KV
- Model family
- GLM-5.2
- Context
- 196,608
- Creator
- brandonmmusic-max
- GitHub stars
- 1
- Repo updated
- Sep 6, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
Decode · 1 request
Prefill by context
What you need
- Hardware
- 4 × NVIDIA RTX PRO 6000 Blackwell
- Weights
- Main weightsmadeby561/GLM-5.2-MXFP8-NVFP4-NF3-Hybrid MIT
- Engine
- vLLM
- Context
- 196,608 tokens
Notes
What matters before you rebuild it.
- ≤ 3 bit: quantization may cost qualityAt 3 bit and below the model may answer noticeably worse than the original. The intelligence number refers to the original.
- Custom kernel required
- Research
Sources
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