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codellama:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 8bit

Good

Mar 3, 2026 · Apple M4

Global Score
63 vs 60
Hardware Fit
97 vs 96
Quality Score
49 vs 44

Hardware

codellama:7b qwen3.5-0.8b-mlx
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

codellama:7b qwen3.5-0.8b-mlx
Tokens/sec23.6108.0
First chunkN/A2568 ms
TTFT297 ms2.6 s
Load time0.9 sN/A
Memory usage12.6 GB1.0 GB
Memory %39%3%

HW Fit Score Breakdown

codellama:7b

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

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
16/20
Memory
30/30

Quality

codellama:7b

Reasoning
6/20
Coding
7/20
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

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
View codellama:7b details | View qwen3.5-0.8b-mlx 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