tinyllama-1.1b-chat-v1.0

LM-STUDIO GGUF

llama · 1.1B · Q3_K_M

Not Rec.

Mar 5, 2026 · Intel Core™ i5-5300U

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

33 vs 74

Hardware Fit

76 vs 66

Quality Score

14 vs 78

Hardware

tinyllama-1.1b-cha… mistralai/magistra…

MachineLENOVO 20BUS00700MacBook Air

CPUIntel Core™ i5-5300UApple M4

Cores410

RAM16 GB32 GB

GPUIntel(R) HD Graphics 5500Apple M4

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

tinyllama-1.1b-cha… mistralai/magistra…

Tokens/sec9.97.9

First chunk3166 ms1356 ms

TTFT3.2 s1.4 s

Load timeN/AN/A

Memory usage0.5 GB13.2 GB

Memory %3%41%

HW Fit Score Breakdown

tinyllama-1.1b-chat-v1.0

Speed

32/50

TTFT

16/20

Memory

28/30

mistralai/magistral-sma…

Speed

16/50

TTFT

20/20

Memory

30/30

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

mistralai/magistral-sma…

Reasoning

14/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

View tinyllama-1.1b-cha… details | View mistralai/magistra… 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