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internlm2:7b

OLLAMA GGUF

internlm2 · 7.7B · Q4_0

Good

Mar 6, 2026 · Apple M4

qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

Global Score
77 vs 34
Hardware Fit
95 vs 21
Quality Score
69 vs 39

Hardware

internlm2:7b qwen3.5-27b-claude…
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB24 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

internlm2:7b qwen3.5-27b-claude…
Tokens/sec22.76.1
First chunk250 ms7 ms
TTFT250 ms22.9 s
Load time0.7 sN/A
Memory usage10.6 GB19.8 GB
Memory %33%82%

HW Fit Score Breakdown

internlm2:7b

Speed
45/50
TTFT
20/20
Memory
30/30

qwen3.5-27b-claude-4.6-…

Speed
12/50
TTFT
0/20
Memory
9/30

Quality

internlm2:7b

Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5-27b-claude-4.6-…

Reasoning
1/20
Coding
14/20
Instruction
5/20
Structured
8/15
Math
4/15
Multilingual
7/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Adequate

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