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internlm2:7b

OLLAMA GGUF

internlm2 · 7.7B · Q4_0

Good

Mar 6, 2026 · Apple M4

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score
77 vs 65
Hardware Fit
95 vs 96
Quality Score
69 vs 51

Hardware

internlm2:7b qwen3-4b-qwen3.6-p…
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

internlm2:7b qwen3-4b-qwen3.6-p…
Tokens/sec22.799.6
First chunk250 ms18 ms
TTFT250 ms1.6 s
Load time0.7 s4.8 s
Memory usage10.6 GB0.3 GB
Memory %33%0%

HW Fit Score Breakdown

internlm2:7b

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

qwen3-4b-qwen3.6-plus-r…

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

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

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
View internlm2:7b details | View qwen3-4b-qwen3.6-p… 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