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qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
68 vs 77
Hardware Fit
100 vs 100
Quality Score
54 vs 67

Hardware

qwen2.5-coder:1.5b mlx-community/meta…
MachineLENOVO 20U30029MBMac mini
CPUIntel Core™ i5-10210UApple M4 Pro
Cores814
RAM15 GB64 GB
GPUCometLake-U GT2 [UHD Graphics]Apple M4 Pro
OSPop 24.04 LTSmacOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen2.5-coder:1.5b mlx-community/meta…
Tokens/sec21.854.3
First chunk499 ms277 ms
TTFT499 ms277 ms
Load time4.4 sN/A
Memory usage1.5 GB4.2 GB
Memory %10%7%

HW Fit Score Breakdown

qwen2.5-coder:1.5b

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

mlx-community/meta-llam…

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

Quality

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen2.5-coder:1.5b details | View mlx-community/meta… 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