Qwen2.5 Coder 7B Instruct

Name: Qwen2.5 Coder 7B Instruct
Author: Qwen (Alibaba)

by Qwen (Alibaba)Qwen 2.5

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released September 202433K context≈ 24,576 words7.6B params

A focused coding specialist that punches above its weight for a 7B model. It handles code generation, debugging, and explanation with notable precision, following instructions closely and producing clean, structured output. Like a junior developer who really knows their lane — strong on common languages and patterns, but may struggle with highly complex multi-step reasoning or obscure edge cases.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Coding

Strong

Multilingual

Qwen2.5 Coder 7B Instruct

by Qwen (Alibaba)Qwen 2.5

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released September 202433K context≈ 24,576 words7.6B params

A focused coding specialist that punches above its weight for a 7B model. It handles code generation, debugging, and explanation with notable precision, following instructions closely and producing clean, structured output. Like a junior developer who really knows their lane — strong on common languages and patterns, but may struggle with highly complex multi-step reasoning or obscure edge cases.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Coding

Strong

Multilingual

Benchmark Scores

Benchmark	Score	Type	Recorded
MMLU-Pro	26.1	accuracy	2mo ago
MuSR	9.5	accuracy	2mo ago
MATH	37.2	accuracy	2mo ago
GPQA Diamond	5.6	accuracy	2mo ago
BBH	28.9	accuracy	2mo ago
IFEval	61.0	accuracy	2mo ago

Glossary

Code GenerationThe ability of a model to write, complete, or suggest programming code based on prompts or partial code input.Multi-Step ReasoningThe ability to break down complex problems into smaller steps and solve them sequentially, rather than jumping directly to an answer.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Structured OutputResponses formatted in a consistent, machine-readable way (like JSON or XML) rather than free-form text.

Capabilities

Capabilities

Benchmark Scores

Use Case Fit

Glossary