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ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
69 vs 80
Hardware Fit
95 vs 100
Quality Score
58 vs 71

Hardware

ornith-1.5:9b gemma-3-4b-it-q4-k-m
MachineMacBook ProMac Pro
CPUApple M1 ProIntel Core™ i5-10400
Cores1012
RAM16 GB32 GB
GPUApple M1 ProAMD Radeon RX 6700 XT
OSmacOS 26.6.2macOS 26.5.1
Archarm64x64
Power Modebalancedbalanced

Performance

ornith-1.5:9b gemma-3-4b-it-q4-k-m
Tokens/sec22.275.0
First chunk341 ms136 ms
TTFT341 ms136 ms
Load time4.8 s0.0 s
Memory usage7.1 GB0.8 GB
Memory %45%3%

HW Fit Score Breakdown

ornith-1.5:9b

Speed
49/50
TTFT
20/20
Memory
26/30

gemma-3-4b-it-q4-k-m

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

Quality

ornith-1.5:9b

Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View ornith-1.5:9b details | View gemma-3-4b-it-q4-k-m 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