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yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Global Score
70 vs 84
Hardware Fit
89 vs 97
Quality Score
62 vs 78

Hardware

yi-coder:9b qwen2.5-7b-instruct
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

yi-coder:9b qwen2.5-7b-instruct
Tokens/sec19.424.4
First chunk287 ms464 ms
TTFT287 ms464 ms
Load time0.7 sN/A
Memory usage9.6 GB4.0 GB
Memory %30%13%

HW Fit Score Breakdown

yi-coder:9b

Speed
39/50
TTFT
20/20
Memory
30/30

qwen2.5-7b-instruct

Speed
47/50
TTFT
20/20
Memory
30/30

Quality

yi-coder:9b

Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Adequate

qwen2.5-7b-instruct

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View yi-coder:9b details | View qwen2.5-7b-instruct 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