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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 7, 2026 · Intel Core™ i5-14600KF

Global Score
45 vs 81
Hardware Fit
67 vs 96
Quality Score
35 vs 75

Hardware

yi-coder-1.5b-chat qwen3:8b
MachineLENOVO 20BUS00700ASUS
CPUIntel Core™ i5-5300UIntel Core™ i5-14600KF
Cores420
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat qwen3:8b
Tokens/sec7.7109.1
First chunk2668 ms190 ms
TTFT2.7 s190 ms
Load timeN/A4.3 s
Memory usage0.9 GB5.6 GB
Memory %6%18%

HW Fit Score Breakdown

yi-coder-1.5b-chat

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

qwen3:8b

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

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
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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