Qwen2.5 Coder Instruct 7B
AlibabaQwenOpen WeightApache 2.0 · Uso Comercial
Descripción
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.
Fecha de lanzamiento
2024-09-19
Parámetros
7.0B
Longitud del contexto
131K
Modalidades
text
Radar de capacidades
17
general
13
coding
29
reasoning
21
science
24
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 480 | 14.0 | AA |
| Ranking general | 517 | 20.0 | AA |
| Ciencia | 509 | 20.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Code
HumanEvalOpenAI (2021)
88.4%Aut.
Aider
55.6%Aut.
LiveCodeBench
18.2%Aut.
Finance
MMLU-Base
68.0%Aut.
MMLU
67.6%Aut.
TruthfulQA
50.6%Aut.
MMLU-Pro
40.1%Aut.
TheoremQA
34.0%Aut.
General
MBPP
0.83 / 100Aut.
MMLU-Redux
66.6%Aut.
ARC-C
60.9%Aut.
BigCodeBench
41.0%Aut.
Language
Winogrande
72.9%Aut.
Math
GSM8k
83.9%Aut.
MATH
46.6%Aut.
STEM
34.0%Aut.
Reasoning
HellaSwagAI2 (2019)
76.8%Aut.
CRUXEval-Input-CoT
56.5%Aut.
CRUXEval-Output-CoT
56.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Intelligence Index(Artificial Analysis)4.1
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.5
Gpqa(NYU + Cohere + Anthropic (2023))0.3
Scicode(UIUC + Argonne National Lab (2024))0.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Aime(MAA (Mathematical Association of America))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Math60
Reasoning60
Language60
General60
Legal50
Finance50
Healthcare50
Code50
Physics30
Precios
Precio de entradaGratis
Precio de salidaGratis
Precio mixto (3:1)Gratis
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
1 proveedores
ProveedorEntradaSalida
1Alibaba (China)
$0.144
$0.287
Comparar precios entre diferentes proveedores de API para este modelo.