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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

codellama:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
76 vs 63
Hardware Fit
100 vs 97
Quality Score
66 vs 49

Hardware

hf.co/empero-ai/Qw… codellama:7b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… codellama:7b
Tokens/sec40.323.6
First chunk101 msN/A
TTFT101 ms297 ms
Load time2.7 s0.9 s
Memory usage4.5 GB12.6 GB
Memory %28%39%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

codellama:7b

Speed
37/50
TTFT
30/20
Memory
30/30

Quality

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

codellama:7b

Reasoning
6/20
Coding
7/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View hf.co/empero-ai/Qw… details | View codellama:7b 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