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lfm2.5-1.2b-instruct-mlx

LM-STUDIO MLX

lfm2 · 1.2B · 8bit

Good

Mar 4, 2026 · Apple M4

parable-qwen3-4b-claude-fable-5

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

Global Score
68 vs 67
Hardware Fit
100 vs 66
Quality Score
54 vs 67

Hardware

lfm2.5-1.2b-instru… parable-qwen3-4b-c…
MachineMacBook AirGigabyte Technology Co., Ltd. H310M S2 2.0
CPUApple M4Intel Core™ i3-9100F
Cores104
RAM32 GB16 GB
GPUApple M4Virtual Desktop Monitor, NVIDIA GeForce GTX 1650
OSmacOS 26.3Майкрософт Windows 10 Pro 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

lfm2.5-1.2b-instru… parable-qwen3-4b-c…
Tokens/sec77.34.3
First chunk177 ms13 ms
TTFT177 ms1.9 s
Load timeN/AN/A
Memory usage1.2 GB3.0 GB
Memory %4%19%

HW Fit Score Breakdown

lfm2.5-1.2b-instruct-mlx

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

parable-qwen3-4b-claude…

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

Quality

lfm2.5-1.2b-instruct-mlx

Reasoning
10/20
Coding
7/20
Instruction
16/20
Structured
12/15
Math
1/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

parable-qwen3-4b-claude…

Reasoning
12/20
Coding
12/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View lfm2.5-1.2b-instru… details | View parable-qwen3-4b-c… 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