Local AI · Recipe · 1× DGX Spark

MiniCPM-V-4.7-35B-A3B EXL3 6.08 bpw with ExLlamaV3 on 1× DGX Spark (text, 262k context)

MiniCPM-V-4.7-35B-A3B EXL3 6.08 bpw with ExLlamaV3 on 1× DGX Spark (text, 262k context): 59.4 tok/s according to github.com (dataset as of Nov 3, 2026).

by r0b0tlab

59.4tok/sEveryday

1 request, chat prompt (20 prompts, thinking off), no drafting (default profile)

Source: github.com

Intelligence (original model) · Artificial Analysisno independent value

Install: MiniCPM-V-4.7-35B-A3B EXL3 6.08 bpw with ExLlamaV3 on 1× DGX Spark (text, 262k context)

Command

git clone https://github.com/r0b0tlab/minicpm-v47-exl3-exllamav3-gb10 && cd minicpm-v47-exl3-exllamav3-gb10 && ./run.sh

Full instructions in the README Repo

Engine: ExLlamaV3 1.5.0 (Fork r0b0tlab/exllamav3-r0b0t, Branch minicpm-v4.7-dspark @ 5ddae7d12448), torch 2.14.0+cu130
Quantization: EXL3 6.08 bpw (28,3 GB), FP16 KV; nur Textpfad (Vision-Tower wird von ExLlamaV3 nicht ausgeführt)
Model family: MiniCPM-V-4.7-35B-A3B
Context: 262,144
Parameters: 35B MoE / 3B aktiv (lt. README)
Creator: r0b0tlab
GitHub stars: 0
Repo updated: Oct 14, 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

Everyday (decode)59.4 tok/sLeg D chat, greedy, ohne Drafting, Mittel über 20 Chat-Prompts, bis 320 neue Token; Profil gb10-text-262k (Default) Source
Mixed (decode)59.9 tok/sLeg D alle 80 Prompts (40 GSM8K-Stil, 20 Code, 20 Chat), greedy, plain decode, Thinking aus Source
Peak (decode)59.8 tok/sLeg D Code-Prompts (20), greedy, plain decode Source

Prefill by context

32K2,889 tok/sKalt, Median aus 3 Wiederholungen (32.768 Token) Source

Time to first token

Shorter is better.

Prompt not stated11,300 mscontext 32K · Kalter TTFT bei ~32k, Median aus 3 Wiederholungen Source

What you need

Hardware: 1 × NVIDIA DGX Spark (GB10)
Weights: Main weightsr0b0tlab/MiniCPM-V-4.7-35B-A3B-EXL3-6.08bpw Apache-2.0
Baseopenbmb/MiniCPM-V-4.7-35B-A3B Apache-2.0
Engine: ExLlamaV3 1.5.0 (Fork r0b0tlab/exllamav3-r0b0t, Branch minicpm-v4.7-dspark @ 5ddae7d12448), torch 2.14.0+cu130
Context: 262,144 tokens

Notes

What matters before you rebuild it.

Custom kernel required
tool-calling

Sources

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Details

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Engine

Measurements

Decode · 1 request

Prefill by context

Time to first token

What you need

Notes

Sources

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