meta/muse-glimmer
LM-STUDIO GGUFmuse-glimmer
Aug 17, 2026 · Intel Gen Intel® Core™ i7-13620H
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
Global Score
9 vs 59
Hardware Fit
28 vs 63
Quality Score
1 vs 58
Hardware
meta/muse-glimmer qwen3.8-27b-mlx
MachineLENOVO 82XVMacBook Pro
CPUIntel Gen Intel® Core™ i7-13620HApple M5 Max
Cores1618
RAM32 GB64 GB
GPUIntel(R) UHD Graphics, NVIDIA GeForce RTX 4060 Laptop GPUApple M5 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 27.0
Archx64arm64
Power Modebalancedbalanced
Performance
meta/muse-glimmer qwen3.8-27b-mlx
Tokens/sec3.218.3
First chunk19 ms4 ms
TTFT68.2 s530 ms
Load timeN/AN/A
Memory usage16.9 GB38.5 GB
Memory %53%60%
HW Fit Score Breakdown
meta/muse-glimmer
Speed
5/50
TTFT
0/20
Memory
23/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
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
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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