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 753B EXL3 3.0 bpw with vLLM on 4× RTX PRO 6000
No speed value is documented for this recipe, so this page is not indexed.
Intelligence (original model) · Artificial Analysis34with thinkingno thinking 22
≤ 3 bit: quantization may cost quality
Engine
- Engine
- vLLM v31 (vLLM 0c79e41)
- Quantization
- EXL3 Trellis 3.0 bpw + nvfp4_ds_mla KV
- Model family
- GLM-5.2
- Context
- 524,288
- Parameters
- 753B MoE
- Creator
- brandonmmusic-max
- GitHub stars
- 0
- Repo updated
- Jul 27, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
No sourced measurements for this recipe.
What you need
- Hardware
- 4 × NVIDIA RTX PRO 6000 Blackwell
- Weights
- Main weightsbrandonmusic/GLM-5.2-EXL3-TR3-3.0bpw MIT
- MTPbrandonmusic/GLM-5.2-EXL3-TR3-3.0bpw MIT
- Engine
- vLLM v31 (vLLM 0c79e41)
- Context
- 524,288 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
Sources
Related recipes
4× RTX PRO 6000
70.7tok/sEveryday
1 request, prose prompt, with MTP Source
Intelligence34with thinkingno thinking 22
- ≤ 3 bit: quantization may cost quality
4× RTX PRO 6000
64tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence34with thinkingno thinking 22
- ≤ 3 bit: quantization may cost quality
- Custom kernel required
4× RTX PRO 6000
58.5tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligenceno independent value
- Custom kernel required
4× RTX PRO 6000
104tok/sMixed
1 request, mixed prompt set, with MTP (per recipe) Source
Intelligence34with thinkingno thinking 22
- ≤ 3 bit: quantization may cost quality
4× RTX PRO 6000
92.5tok/sMixed
1 request, mixed prompt set, with MTP Source
Intelligenceno independent value
Local AI in your company?
In a workshop we work out which models and which hardware fit your tasks, and build the first agent on your infrastructure.