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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

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
45 vs 20
Hardware Fit
67 vs 37
Quality Score
35 vs 12

Hardware

yi-coder-1.5b-chat qwen3.5:27b
MachineLENOVO 20BUS00700AZW GTR Pro
CPUIntel Core™ i5-5300UAMD RYZEN AI MAX+ 395
Cores432
RAM16 GB125 GB
GPUIntel(R) HD Graphics 5500AMD Radeon 8060S
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

yi-coder-1.5b-chat qwen3.5:27b
Tokens/sec7.710.6
First chunk2668 ms358 ms
TTFT2.7 s13.7 s
Load timeN/A10.8 s
Memory usage0.9 GB39.7 GB
Memory %6%32%

HW Fit Score Breakdown

yi-coder-1.5b-chat

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

qwen3.5:27b

Speed
9/50
TTFT
0/20
Memory
28/30

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

qwen3.5:27b

Reasoning
2/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
8/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Strong
View yi-coder-1.5b-chat details | View qwen3.5:27b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest