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vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

lmstudio-community/meta-llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q4_K_M

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
59 vs 78
Hardware Fit
97 vs 100
Quality Score
43 vs 69

Hardware

vicuna:7b lmstudio-community…
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

vicuna:7b lmstudio-community…
Tokens/sec23.446.0
First chunkN/A245 ms
TTFT242 ms245 ms
Load time0.4 sN/A
Memory usage5.8 GB4.6 GB
Memory %18%7%

HW Fit Score Breakdown

vicuna:7b

Speed
37/50
TTFT
30/20
Memory
30/30

lmstudio-community/meta…

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

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

lmstudio-community/meta…

Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View vicuna:7b details | View lmstudio-community… 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