lfm2.5-1.2b-instruct-mlx
LM-STUDIO MLXlfm2 · 1.2B · 8bit
Mar 4, 2026 · Apple M4
yi:6b
OLLAMA GGUFllama · 6B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
68 vs 77
Hardware Fit
100 vs 100
Quality Score
54 vs 67
Hardware
lfm2.5-1.2b-instru… yi:6b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-1.2b-instru… yi:6b
Tokens/sec77.327.6
First chunk177 msN/A
TTFT177 ms210 ms
Load timeN/A0.4 s
Memory usage1.2 GB3.6 GB
Memory %4%11%
HW Fit Score Breakdown
lfm2.5-1.2b-instruct-mlx
Speed
50/50
TTFT
20/20
Memory
30/30
yi:6b
Speed
40/50
TTFT
30/20
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
yi:6b
Reasoning
11/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
13/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest