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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

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Jun 17, 2026 · ZHAOXIN KaiXian KX-7000 KaiXian KX-7000

Global Score
45 vs 65
Hardware Fit
67 vs 87
Quality Score
35 vs 56

Hardware

yi-coder-1.5b-chat qwen2.5:1.5b
MachineLENOVO 20BUS00700Shanghai Zhaoxin Semiconductor Co., Ltd. ZXE CRB
CPUIntel Core™ i5-5300UZHAOXIN KaiXian KX-7000 KaiXian KX-7000
Cores48
RAM16 GB30 GB
GPUIntel(R) HD Graphics 5500ZX C-1190
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Pro 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat qwen2.5:1.5b
Tokens/sec7.716.8
First chunk2668 ms941 ms
TTFT2.7 s941 ms
Load timeN/A0.2 s
Memory usage0.9 GB1.0 GB
Memory %6%3%

HW Fit Score Breakdown

yi-coder-1.5b-chat

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

qwen2.5:1.5b

Speed
37/50
TTFT
20/20
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

qwen2.5:1.5b

Reasoning
8/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View yi-coder-1.5b-chat details | View qwen2.5:1.5b 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