2× DGX Spark
35tok/sEveryday
1 request, prose prompt, with EAGLE Source
Intelligenceno independent value
- Experimental
Local AI · Recipe · 1× RTX PRO 6000
MiMo-V2.6-Flash EXL3 2.20 bpw with ExLlamaV3 on 1× RTX PRO 6000
MiMo-V2.6-Flash EXL3 2.20 bpw with ExLlamaV3 on 1× RTX PRO 6000: 184 tok/s according to github.com (dataset as of Nov 3, 2026).
by vcruz305
Intelligence (original model) · Artificial Analysisno independent value
≤ 3 bit: quantization may cost quality
Engine
- Engine
- ExLlamaV3 (native /v1 server) v1.5.1.post1 (Fork)
- Quantization
- EXL3 2.20bpw (86.94 GB)
- Model family
- MiMo-V2.6-Flash
- Context
- 65,536
- Parameters
- 48 Layer, 256 routed Experten top-8
- Creator
- vcruz305
- GitHub stars
- 3
- Repo updated
- Sep 27, 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
Time to first token
Shorter is better.
What you need
- Hardware
- 1 × NVIDIA RTX PRO 6000 Blackwell
- Weights
- Main weightsvcruz305/MiMo-V2.6-Flash-MOPD-EXL3 MIT
- Draft modelXiaomiMiMo/MiMo-V2.6-Flash-RL MIT
- BaseXiaomiMiMo/MiMo-V2.6-Flash-RL MIT
- Engine
- ExLlamaV3 (native /v1 server) v1.5.1.post1 (Fork)
- Context
- 65,536 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
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