lfm2.5-1.2b-instruct-mlx
LM-STUDIO MLXlfm2 · 1.2B · 8bit
Mar 4, 2026 · Apple M4
hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16
OLLAMA GGUFllama · 2.99B · BF16
Aug 22, 2026 · Apple M1 Pro
Global Score
68 vs 65
Hardware Fit
100 vs 94
Quality Score
54 vs 52
Hardware
lfm2.5-1.2b-instru… hf.co/bartowski/ai…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-1.2b-instru… hf.co/bartowski/ai…
Tokens/sec77.329.6
First chunk177 ms264 ms
TTFT177 ms264 ms
Load timeN/A3.8 s
Memory usage1.2 GB8.4 GB
Memory %4%53%
HW Fit Score Breakdown
lfm2.5-1.2b-instruct-mlx
Speed
50/50
TTFT
20/20
Memory
30/30
hf.co/bartowski/ai9star…
Speed
50/50
TTFT
20/20
Memory
24/30
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
hf.co/bartowski/ai9star…
Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest