bloomz-560m

LM-STUDIO GGUF

bloom · 560M · Q4_K_M

Not Rec.

Mar 8, 2026 · Intel Core™ i5-5300U

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score

30 vs 70

Hardware Fit

85 vs 89

Quality Score

7 vs 62

Hardware

bloomz-560m yi-coder:9b

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

bloomz-560m yi-coder:9b

Tokens/sec12.219.4

First chunk1167 ms287 ms

TTFT1.2 s287 ms

Load timeN/A0.7 s

Memory usage0.5 GB9.6 GB

Memory %3%30%

HW Fit Score Breakdown

bloomz-560m

Speed

38/50

TTFT

20/20

Memory

27/30

yi-coder:9b

Speed

39/50

TTFT

20/20

Memory

30/30

Quality

bloomz-560m

Reasoning

4/20

Coding

0/20

Instruction

2/20

Structured

0/15

Math

0/15

Multilingual

1/10

Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

yi-coder:9b

Reasoning

12/20

Coding

16/20

Instruction

13/20

Structured

7/15

Math

7/15

Multilingual

7/10

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

View bloomz-560m details | View yi-coder:9b 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