yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Mar 5, 2026 · Apple M4
Global Score
45 vs 48
Hardware Fit
67 vs 77
Quality Score
35 vs 35
Hardware
yi-coder-1.5b-chat qwen3.5:4b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
yi-coder-1.5b-chat qwen3.5:4b
Tokens/sec7.718.9
First chunk2668 ms316 ms
TTFT2.7 s13.0 s
Load timeN/A3.7 s
Memory usage0.9 GB5.9 GB
Memory %6%37%
HW Fit Score Breakdown
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
qwen3.5:4b
Speed
43/50
TTFT
4/20
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
qwen3.5:4b
Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor 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