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× DGX Spark
GLM-5.2 753B INT4 with vLLM on 4× DGX Spark (96k context)
by drowzeys
Intelligence (original model) · Artificial Analysis34with thinkingno thinking 22
Engine
- Engine
- vLLM
- Quantization
- INT4/INT8 mixed + nvfp4_ds_mla KV
- Model family
- GLM-5.2
- Context
- 98,304
- Parameters
- 753B MoE
- Creator
- drowzeys
- GitHub stars
- 0
- Repo updated
- Jul 18, 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 DGX Spark (GB10)
- Weights
- Main weightsQuantTrio/GLM-5.2-Int4-Int8Mix MIT
- Draft modelRedHatAI/GLM-5.2-speculator.dspark Apache-2.0
- Engine
- vLLM
- Context
- 98,304 tokens
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.