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

LM-STUDIO GGUF

llama · 8B · Q4_K_M

Good

Mar 5, 2026 · Apple M4 Pro

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
78 vs 65
Hardware Fit
100 vs 92
Quality Score
69 vs 54

Hardware

lmstudio-community… qwen2.5:1.5b
MachineMac miniiMac
CPUApple M4 ProIntel Core™ i7-4771
Cores148
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce GTX 780M
OSmacOS 15.7.4macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced

Performance

lmstudio-community… qwen2.5:1.5b
Tokens/sec46.019.6
First chunk245 ms690 ms
TTFT245 ms690 ms
Load timeN/A21.4 s
Memory usage4.6 GB1.0 GB
Memory %7%3%

HW Fit Score Breakdown

lmstudio-community/meta…

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

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

Quality

lmstudio-community/meta…

Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

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