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liquid/lfm2-1.2b

LM-STUDIO GGUF

lfm2 · 1.2B · Q8_0

Good

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
69 vs 83
Hardware Fit
100 vs 68
Quality Score
56 vs 90

Hardware

liquid/lfm2-1.2b qwen/qwen3.8-27b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Pro
CPUAMD Ryzen 7 4800HApple M4 Max
Cores1616
RAM15 GB128 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

liquid/lfm2-1.2b qwen/qwen3.8-27b
Tokens/sec169.527.6
First chunk27 ms10 ms
TTFT77 ms4.6 s
Load timeN/AN/A
Memory usage3.4 GB21.0 GB
Memory %22%16%

HW Fit Score Breakdown

liquid/lfm2-1.2b

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

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

Quality

liquid/lfm2-1.2b

Reasoning
9/20
Coding
7/20
Instruction
14/20
Structured
12/15
Math
5/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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