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deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Apr 1, 2026 · Apple M4

Global Score
66 vs 74
Hardware Fit
63 vs 84
Quality Score
67 vs 69

Hardware

deepseek-r1:7b liquid/lfm2-24b-a2b
MachineGigabyte Technology Co., Ltd. H170M-D3HMac mini
CPUIntel Core™ i5-6500Apple M4
Cores410
RAM16 GB24 GB
GPUGP104 [GeForce GTX 1070]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

deepseek-r1:7b liquid/lfm2-24b-a2b
Tokens/sec35.651.8
First chunk224 ms10 ms
TTFT7.5 s503 ms
Load time7.7 sN/A
Memory usage4.6 GB17.5 GB
Memory %29%73%

HW Fit Score Breakdown

deepseek-r1:7b

Speed
50/50
TTFT
7/20
Memory
6/30

liquid/lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
14/30

Quality

deepseek-r1:7b

Reasoning
16/20
Coding
10/20
Instruction
9/20
Structured
10/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

liquid/lfm2-24b-a2b

Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate 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