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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-coder:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

Global Score
45 vs 68
Hardware Fit
67 vs 59
Quality Score
35 vs 72

Hardware

yi-coder-1.5b-chat qwen2.5-coder:7b
MachineLENOVO 20BUS00700ASUS
CPUIntel Core™ i5-5300UIntel Gen Intel® Core™ i7-13700K
Cores424
RAM16 GB64 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 3070
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedunknown

Performance

yi-coder-1.5b-chat qwen2.5-coder:7b
Tokens/sec7.734.4
First chunk2668 ms1991 ms
TTFT2.7 s2.0 s
Load timeN/A40.6 s
Memory usage0.9 GB5.0 GB
Memory %6%8%

HW Fit Score Breakdown

yi-coder-1.5b-chat

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

qwen2.5-coder:7b

Speed
38/50
TTFT
12/20
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

qwen2.5-coder:7b

Reasoning
11/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View yi-coder-1.5b-chat details | View qwen2.5-coder:7b 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