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yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score
45 vs 84
Hardware Fit
67 vs 97
Quality Score
35 vs 79

Hardware

yi-coder-1.5b-chat qwen3:8b
MachineLENOVO 20BUS00700ASUS
CPUIntel Core™ i5-5300UIntel Core™ Ultra 9 285K
Cores424
RAM16 GB47 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 5090, Intel(R) Graphics
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat qwen3:8b
Tokens/sec7.7208.0
First chunk2668 ms82 ms
TTFT2.7 s1.3 s
Load timeN/A1.5 s
Memory usage0.9 GB9.6 GB
Memory %6%20%

HW Fit Score Breakdown

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

qwen3:8b

Speed
50/50
TTFT
18/20
Memory
29/30

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

qwen3:8b

Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View yi-coder-1.5b-chat details | View qwen3:8b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest