2× DGX Spark
36.1tok/sEveryday
1 request, prose prompt, with DFlash2 (per recipe) Source
Intelligence42with thinking
- ≤ 3 bit: quantization may cost quality
- Custom kernel required
- Non-commercial
- License unclear
Local AI · Recipe · 1× DGX Spark
GLM-5.3-Flash 320B-A18B EXL3 with vLLM on 1× DGX Spark
by vcruz305
Intelligence (original model) · Artificial Analysis42with thinkingOriginal model's value. Heavily compressed (~2.4 bit), intelligence is likely much lower.
≤ 3 bit: quantization may cost quality
Engine
- Engine
- vLLM
- Quantization
- EXL3 K2 (2-bit MCG, nur routed Experten), FP8 KV
- Model family
- GLM-5.3-Flash
- Context
- 262,144
- Parameters
- 320B MoE / 18B active (lt. glm53-nvfp4-Repo)
- Creator
- vcruz305
- GitHub stars
- 27
- Repo updated
- Sep 22, 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
- 1 × NVIDIA DGX Spark (GB10)
- Weights
- Main weightsvcruz305/GLM-5.3-Flash-EXL3-K2 MIT
- othervcruz305/GLM-5.3-Flash-EXL3-K2-spark-vllm MIT
- Basezai-org/GLM-5.3-Flash-BF16 MIT
- Engine
- vLLM
- Context
- 262,144 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.
- Hangs at long context
- Custom kernel required
Sources
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