yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
Global Score
45 vs 58
Hardware Fit
67 vs 82
Quality Score
35 vs 48
Hardware
yi-coder-1.5b-chat qwen3:14b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Max
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M1 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
yi-coder-1.5b-chat qwen3:14b
Tokens/sec7.724.4
First chunk2668 ms294 ms
TTFT2.7 s7.9 s
Load timeN/A3.7 s
Memory usage0.9 GB13.8 GB
Memory %6%43%
HW Fit Score Breakdown
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
qwen3:14b
Speed
47/50
TTFT
5/20
Memory
30/30
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
qwen3:14b
Reasoning
13/20
Coding
6/20
Instruction
10/20
Structured
9/15
Math
2/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor 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