meta/muse-glimmer
LM-STUDIO GGUFmuse-glimmer
Aug 17, 2026 · Intel Gen Intel® Core™ i7-13620H
qwen3-vl:4b-instruct
OLLAMA GGUFqwen3vl · 4.4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
9 vs 83
Hardware Fit
28 vs 96
Quality Score
1 vs 78
Hardware
meta/muse-glimmer qwen3-vl:4b-instruct
MachineLENOVO 82XVMac Studio
CPUIntel Gen Intel® Core™ i7-13620HApple M2 Max
Cores1612
RAM32 GB96 GB
GPUIntel(R) UHD Graphics, NVIDIA GeForce RTX 4060 Laptop GPUApple M2 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
meta/muse-glimmer qwen3-vl:4b-instruct
Tokens/sec3.291.2
First chunk19 ms150 ms
TTFT68.2 s150 ms
Load timeN/A5.3 s
Memory usage16.9 GB42.5 GB
Memory %53%44%
HW Fit Score Breakdown
meta/muse-glimmer
Speed
5/50
TTFT
0/20
Memory
23/30
qwen3-vl:4b-instruct
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
meta/muse-glimmer
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
1/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
qwen3-vl:4b-instruct
Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest