yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
Global Score
45 vs 67
Hardware Fit
67 vs 51
Quality Score
35 vs 74
Hardware
yi-coder-1.5b-chat qwen2-57b:57B
MachineLENOVO 20BUS00700GMKtec NucBox EVO-T2S
CPUIntel Core™ i5-5300UIntel Core™ Ultra X7 358H
Cores416
RAM16 GB64 GB
GPUIntel(R) HD Graphics 5500Intel(R) Arc(TM) B390 GPU
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
yi-coder-1.5b-chat qwen2-57b:57B
Tokens/sec7.78.6
First chunk2668 ms1573 ms
TTFT2.7 s1.6 s
Load timeN/A29.0 s
Memory usage0.9 GB32.8 GB
Memory %6%52%
HW Fit Score Breakdown
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
qwen2-57b:57B
Speed
10/50
TTFT
17/20
Memory
24/30
Quality
yi-coder-1.5b-chat
Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate
qwen2-57b:57B
Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest