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bloomz-560m

LM-STUDIO GGUF

bloom · 560M · Q4_K_M

Not Rec.

Mar 8, 2026 · Intel Core™ i5-5300U

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
30 vs 76
Hardware Fit
85 vs 89
Quality Score
7 vs 71

Hardware

bloomz-560m ministral-3:8b
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 ministral-3:8b
Tokens/sec12.219.5
First chunk1167 ms328 ms
TTFT1.2 s328 ms
Load timeN/A1.5 s
Memory usage0.5 GB10.6 GB
Memory %3%33%

HW Fit Score Breakdown

bloomz-560m

Speed
38/50
TTFT
20/20
Memory
27/30

ministral-3:8b

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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View bloomz-560m details | View ministral-3:8b 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