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codegemma:7b

OLLAMA GGUF

gemma · 9B · Q4_0

Good

Mar 1, 2026 · Apple M4

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
71 vs 76
Hardware Fit
91 vs 100
Quality Score
62 vs 66

Hardware

codegemma:7b hf.co/empero-ai/Qw…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

codegemma:7b hf.co/empero-ai/Qw…
Tokens/sec18.740.3
First chunkN/A101 ms
TTFT320 ms101 ms
Load time0.8 s2.7 s
Memory usage8.7 GB4.5 GB
Memory %27%28%

HW Fit Score Breakdown

codegemma:7b

Speed
31/50
TTFT
30/20
Memory
30/30

hf.co/empero-ai/Qwen3.8…

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

Quality

codegemma:7b

Reasoning
1/20
Coding
14/20
Instruction
13/20
Structured
15/15
Math
10/15
Multilingual
9/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

hf.co/empero-ai/Qwen3.8…

Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View codegemma:7b details | View hf.co/empero-ai/Qw… 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