Qwen2.5 Coder Instruct 7B
AlibabaQwen開源權重Apache 2.0 · 商用許可
描述
Qwen2.5-Coder is a specialized coding model trained on 5.5 trillion tokens of code data, supporting 92 programming languages with a 128K context window. It excels in code generation, completion, and repair while maintaining strong performance in math and general tasks. The model demonstrates exceptional capabilities in multi-programming language tasks and code reasoning.
發布日期
2024-09-19
參數規模
7.0B
上下文長度
131K
支援模態
text
能力雷達圖
18
general
13
coding
29
reasoning
25
science
24
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))General
MMLU
67.6%自報
TruthfulQA
50.6%自報
BigCodeBench
41.0%自報
Language
MMLU-Base
68.0%自報
MMLU-Redux
66.6%自報
MMLU-Pro
40.1%自報
Math
GSM8k
83.9%自報
MATH
46.6%自報
TheoremQA
34.0%自報
STEM
34.0%自報
Reasoning
HumanEvalOpenAI (2021)
88.4%自報
MBPP
0.83 / 100自報
HellaSwagAI2 (2019)
76.8%自報
Winogrande
72.9%自報
ARC-C
60.9%自報
CRUXEval-Input-CoT
56.5%自報
CRUXEval-Output-CoT
56.0%自報
Aider
55.6%自報
LiveCodeBench
18.2%自報
AA 評測指數
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))66.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))47.3
Gpqa(NYU + Cohere + Anthropic (2023))33.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))12.6
Intelligence Index(Artificial Analysis)5.8
Aime(MAA (Mathematical Association of America))5.3
Hle(Center for AI Safety + Scale AI (2025))4.9
LLM Stats 分類評分
(LLM Stats (zeroeval))Language60
Math60
Reasoning60
General60
Legal50
Finance50
Healthcare50
Code50
Physics30
定價
輸入價格免費
輸出價格免費
混合價格(3:1)免費
速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
1 個供應商
供應商輸入輸出
1Alibaba (China)
$0.144
$0.287
比較該模型在不同 API 供應商之間的定價。