yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
gemma2:9b
OLLAMA GGUFgemma2 · 9.2B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
45 vs 76
Hardware Fit
67 vs 89
Quality Score
35 vs 71
Hardware
yi-coder-1.5b-chat gemma2:9b
MachineLENOVO 20BUS00700MacBook Air
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB32 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 gemma2:9b
Tokens/sec7.717.5
First chunk2668 msN/A
TTFT2.7 s347 ms
Load timeN/A0.8 s
Memory usage0.9 GB8.2 GB
Memory %6%26%
HW Fit Score Breakdown
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
gemma2:9b
Speed
29/50
TTFT
30/20
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
gemma2:9b
Reasoning
11/20
Coding
15/20
Instruction
13/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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