meta/muse-glimmer

LM-STUDIO GGUF

muse-glimmer

Not Rec.

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

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score

9 vs 59

Hardware Fit

28 vs 84

Quality Score

1 vs 48

Hardware

meta/muse-glimmer vicuna:13b

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:13b

Tokens/sec3.213.4

First chunk19 msN/A

TTFT68.2 s438 ms

Load timeN/A0.6 s

Memory usage16.9 GB10.3 GB

Memory %53%32%

HW Fit Score Breakdown

meta/muse-glimmer

Speed

5/50

TTFT

0/20

Memory

23/30

vicuna:13b

Speed

24/50

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:13b

Reasoning

7/20

Coding

5/20

Instruction

12/20

Structured

13/15

Math

3/15

Multilingual

8/10

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

View meta/muse-glimmer details | View vicuna:13b 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