qwen2.5-coder-7b-instruct-mlx
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
tinyllama-1.1b-chat-v1.0
LM-STUDIO GGUFllama · 1.1B · Q3_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
Global Score
79 vs 33
Hardware Fit
92 vs 76
Quality Score
73 vs 14
Hardware
qwen2.5-coder-7b-i… tinyllama-1.1b-cha…
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen2.5-coder-7b-i… tinyllama-1.1b-cha…
Tokens/sec22.59.9
First chunk529 ms3166 ms
TTFT529 ms3.2 s
Load timeN/AN/A
Memory usage4.0 GB0.5 GB
Memory %13%3%
HW Fit Score Breakdown
qwen2.5-coder-7b-instru…
Speed
44/50
TTFT
20/20
Memory
28/30
tinyllama-1.1b-chat-v1.0
Speed
32/50
TTFT
16/20
Memory
28/30
Quality
qwen2.5-coder-7b-instru…
Reasoning
10/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
tinyllama-1.1b-chat-v1.0
Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest