yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
rnj-1:8b
OLLAMA GGUFgemma3 · 8.3B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
45 vs 80
Hardware Fit
67 vs 93
Quality Score
35 vs 74
Hardware
yi-coder-1.5b-chat rnj-1:8b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
yi-coder-1.5b-chat rnj-1:8b
Tokens/sec7.722.3
First chunk2668 ms404 ms
TTFT2.7 s404 ms
Load timeN/A3.7 s
Memory usage0.9 GB8.3 GB
Memory %6%52%
HW Fit Score Breakdown
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
rnj-1:8b
Speed
49/50
TTFT
20/20
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
rnj-1:8b
Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong 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