Back to leaderboard

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ i7-14700F

mlx-community/Yi-1.5-6B-Chat-4bit

LM-STUDIO GGUF
Good

Mar 5, 2026 · Apple M4

Global Score
69 vs 73
Hardware Fit
51 vs 100
Quality Score
76 vs 62

Hardware

qwen2-57b:57B mlx-community/Yi-1…
MachineHP OMEN 35L VALORANT Limited Edition Gaming Desktop PCMacBook Air
CPUIntel Core™ i7-14700FApple M4
Cores2810
RAM64 GB32 GB
GPUNVIDIA GeForce RTX 5080Apple M4
OSMicrosoft Windows 11 Enterprise 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2-57b:57B mlx-community/Yi-1…
Tokens/sec7.729.1
First chunk940 ms451 ms
TTFT940 ms451 ms
Load time0.2 sN/A
Memory usage33.3 GB0.9 GB
Memory %52%3%

HW Fit Score Breakdown

qwen2-57b:57B

Speed
8/50
TTFT
19/20
Memory
24/30

mlx-community/Yi-1.5-6B…

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

Quality

qwen2-57b:57B

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

mlx-community/Yi-1.5-6B…

Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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