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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

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Excellent

Mar 6, 2026 · AMD RYZEN AI MAX+ 395 w/ Radeon 8060S

Global Score
45 vs 82
Hardware Fit
67 vs 93
Quality Score
35 vs 77

Hardware

yi-coder-1.5b-chat qwen3.5:4b
MachineLENOVO 20BUS00700AZW GTR Pro
CPUIntel Core™ i5-5300UAMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Cores432
RAM16 GB125 GB
GPUIntel(R) HD Graphics 5500Integrated / Apple Silicon
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedperformance

Performance

yi-coder-1.5b-chat qwen3.5:4b
Tokens/sec7.746.8
First chunk2668 ms174 ms
TTFT2.7 s174 ms
Load timeN/A5.9 s
Memory usage0.9 GB16.2 GB
Memory %6%13%

HW Fit Score Breakdown

yi-coder-1.5b-chat

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

qwen3.5:4b

Speed
43/50
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

qwen3.5:4b

Reasoning
15/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View yi-coder-1.5b-chat details | View qwen3.5:4b 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