mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score

77 vs 37

Hardware Fit

100 vs 73

Quality Score

67 vs 22

Hardware

mlx-community/meta… deepseek-r1:1.5b

MachineMac miniLENOVO 20L7CTO1WW

CPUApple M4 ProIntel Core™ i5-8350U

Cores148

RAM64 GB23 GB

GPUApple M4 ProKaby Lake-R GT2 [UHD Graphics 620]

OSmacOS 15.7.4Fedora Linux 43

Archarm64x64

Power Modebalancedlow-power

Performance

mlx-community/meta… deepseek-r1:1.5b

Tokens/sec54.318.4

First chunk277 ms593 ms

TTFT277 ms30.0 s

Load timeN/A3.8 s

Memory usage4.2 GB1.0 GB

Memory %7%4%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

deepseek-r1:1.5b

Speed

43/50

TTFT

0/20

Memory

30/30

Quality

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

deepseek-r1:1.5b

Reasoning

4/20

Coding

0/20

Instruction

5/20

Structured

3/15

Math

7/15

Multilingual

3/10

Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Weak

View mlx-community/meta… details | View deepseek-r1:1.5b details

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