Back to leaderboard

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
45 vs 62
Hardware Fit
67 vs 77
Quality Score
35 vs 55

Hardware

yi-coder-1.5b-chat google/gemma-4-e4b
MachineLENOVO 20BUS00700LENOVO 82JQ
CPUIntel Core™ i5-5300UAMD Ryzen 7 5800H
Cores416
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat google/gemma-4-e4b
Tokens/sec7.727.6
First chunk2668 ms23 ms
TTFT2.7 s480 ms
Load timeN/AN/A
Memory usage0.9 GB13.2 GB
Memory %6%83%

HW Fit Score Breakdown

yi-coder-1.5b-chat

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

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

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

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
View yi-coder-1.5b-chat details | View google/gemma-4-e4b 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