meta/muse-glimmer
LM-STUDIO GGUFmuse-glimmer
Aug 17, 2026 · Intel Gen Intel® Core™ i7-13620H
qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
Global Score
9 vs 60
Hardware Fit
28 vs 96
Quality Score
1 vs 44
Hardware
meta/muse-glimmer qwen3.5-0.8b-mlx
MachineLENOVO 82XVMacBook Air
CPUIntel Gen Intel® Core™ i7-13620HApple M4
Cores1610
RAM32 GB32 GB
GPUIntel(R) UHD Graphics, NVIDIA GeForce RTX 4060 Laptop GPUApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
meta/muse-glimmer qwen3.5-0.8b-mlx
Tokens/sec3.2108.0
First chunk19 ms2568 ms
TTFT68.2 s2.6 s
Load timeN/AN/A
Memory usage16.9 GB1.0 GB
Memory %53%3%
HW Fit Score Breakdown
meta/muse-glimmer
Speed
5/50
TTFT
0/20
Memory
23/30
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
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
qwen3.5-0.8b-mlx
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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