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 526B NVFP4 with vLLM on 4× RTX PRO 6000
GLM-5.2 526B NVFP4 with vLLM on 4× RTX PRO 6000: 77 tok/s according to github.com (dataset as of Nov 3, 2026).
by 0xSero
Intelligence (original model) · Artificial Analysisno independent value
Engine
- Engine
- vLLM
- Quantization
- NVFP4 routed experts, FP8 KV
- Model family
- GLM-5.2
- Context
- 262,144
- Parameters
- ~526B, 108–216 experts/Layer (avg 176/256)
- Creator
- 0xSero
- GitHub stars
- 3
- Repo updated
- Aug 16, 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
What you need
- Hardware
- 4 × NVIDIA RTX PRO 6000 Blackwell
- Weights
- Main weights0xSero/GLM-5.2-REAP-NU176-526B MIT
- Basenvidia/GLM-5.2-NVFP4 MIT
- Engine
- vLLM
- Context
- 262,144 tokens
Notes
What matters before you rebuild it.
- REAP-pruned
- Custom kernel required
Sources
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