meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

Aug 17, 2026 · Intel Gen Intel® Core™ i7-13620H

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score

9 vs 59

Hardware Fit

28 vs 97

Quality Score

1 vs 43

Hardware

meta/muse-glimmer vicuna:7b

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 vicuna:7b

Tokens/sec3.223.4

First chunk19 msN/A

TTFT68.2 s242 ms

Load timeN/A0.4 s

Memory usage16.9 GB5.8 GB

Memory %53%18%

HW Fit Score Breakdown

meta/muse-glimmer

Speed

5/50

TTFT

0/20

Memory

23/30

vicuna:7b

Speed

37/50

TTFT

30/20

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

vicuna:7b

Reasoning

8/20

Coding

4/20

Instruction

10/20

Structured

12/15

Math

2/15

Multilingual

7/10

Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

View meta/muse-glimmer details | View vicuna:7b details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest