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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

Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Not Rec.

Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor

Global Score
45 vs 62
Hardware Fit
67 vs 10
Quality Score
35 vs 84

Hardware

yi-coder-1.5b-chat Qwen3-80B:80B
MachineLENOVO 20BUS00700HP HyperX OMEN Gaming Laptop 16-ap1xxx
CPUIntel Core™ i5-5300UAMD Ryzen 9 9955HX3D 16-Core Processor
Cores432
RAM16 GB31 GB
GPUIntel(R) HD Graphics 5500AMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPU
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Home 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat Qwen3-80B:80B
Tokens/sec7.74.9
First chunk2668 ms8006 ms
TTFT2.7 s8.0 s
Load timeN/A63.7 s
Memory usage0.9 GB47.3 GB
Memory %6%153%

HW Fit Score Breakdown

yi-coder-1.5b-chat

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

Qwen3-80B:80B

Speed
6/50
TTFT
4/20
Memory
0/30

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

Qwen3-80B:80B

Reasoning
17/20
Coding
19/20
Instruction
13/20
Structured
13/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

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