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deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
66 vs 18
Hardware Fit
63 vs 59
Quality Score
67 vs 0

Hardware

deepseek-r1:7b lfm2-24b-a2b
MachineGigabyte Technology Co., Ltd. H170M-D3HMac mini
CPUIntel Core™ i5-6500Apple M4 Pro
Cores414
RAM16 GB64 GB
GPUGP104 [GeForce GTX 1070]Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

deepseek-r1:7b lfm2-24b-a2b
Tokens/sec35.66.6
First chunk224 ms1025 ms
TTFT7.5 s1.0 s
Load time7.7 sN/A
Memory usage4.6 GB0.0 GB
Memory %29%0%

HW Fit Score Breakdown

deepseek-r1:7b

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

lfm2-24b-a2b

Speed
9/50
TTFT
20/20
Memory
30/30

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

lfm2-24b-a2b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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