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tinyllama-1.1b-chat-v1.0

LM-STUDIO GGUF

llama · 1.1B · Q3_K_M

Not Rec.

Mar 5, 2026 · Intel Core™ i5-5300U

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
33 vs 85
Hardware Fit
76 vs 95
Quality Score
14 vs 81

Hardware

tinyllama-1.1b-cha… gemma4:e4b-mlx
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M2 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M2 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

tinyllama-1.1b-cha… gemma4:e4b-mlx
Tokens/sec9.947.3
First chunk3166 ms258 ms
TTFT3.2 s258 ms
Load timeN/A5.1 s
Memory usage0.5 GB7.9 GB
Memory %3%49%

HW Fit Score Breakdown

tinyllama-1.1b-chat-v1.0

Speed
32/50
TTFT
16/20
Memory
28/30

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
25/30

Quality

tinyllama-1.1b-chat-v1.0

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

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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