Back to leaderboard

qwen2.5-1.5b-instruct

LM-STUDIO GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 6, 2026 · Intel Core™ i5-5300U

orcarouter/Qwen3.8-27B-Uncensored:iq4_xs

OLLAMA GGUF

qwen35 · 27.3B · IQ4_XS

Excellent

Sep 11, 2026 · Intel Core™ i5-10400

Global Score
61 vs 88
Hardware Fit
69 vs 69
Quality Score
58 vs 96

Hardware

qwen2.5-1.5b-instr… orcarouter/Qwen3.8…
MachineLENOVO 20BUS00700ASUS
CPUIntel Core™ i5-5300UIntel Core™ i5-10400
Cores412
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Todesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 10 专业版 10.0.19045
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5-1.5b-instr… orcarouter/Qwen3.8…
Tokens/sec6.639.5
First chunk2277 ms220 ms
TTFT2.3 s3.2 s
Load timeN/A13.7 s
Memory usage0.9 GB14.2 GB
Memory %6%89%

HW Fit Score Breakdown

qwen2.5-1.5b-instruct

Speed
23/50
TTFT
19/20
Memory
27/30

orcarouter/Qwen3.8-27B-…

Speed
50/50
TTFT
14/20
Memory
5/30

Quality

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

orcarouter/Qwen3.8-27B-…

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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