par lmstudio-community
Open source · 104k downloads · 2 likes
Le modèle Qwen2.5 Coder 14B Instruct est une version optimisée pour le développement logiciel, conçue pour assister les programmeurs dans la génération, la compréhension et la correction de code. Grâce à son entraînement sur des milliards de tokens incluant du code, des explications textuelles et des données synthétiques, il excelle dans la résolution de problèmes techniques, l'écriture de fonctions ou de scripts, et l'interprétation de requêtes complexes en langage naturel. Ses capacités de traitement de contexte long, jusqu'à 128 000 tokens, en font un outil particulièrement adapté aux projets de grande envergure ou aux bases de code étendues. Ce modèle se distingue par son approche axée sur les agents de code, facilitant l'automatisation des tâches de développement et l'intégration dans des workflows collaboratifs. Idéal pour les développeurs, les équipes techniques ou les chercheurs, il offre une assistance précise et contextualisée pour accélérer la productivité tout en réduisant les erreurs.
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Compatibility: Apple Silicon Macs
Model creator: Qwen
Original model: Qwen2.5-Coder-14B-Instruct
MLX quantizations: provided by bartowski from mlx-examples
Long-context Support up to 128K tokens with yarn rope scaling factor of 4.0
Designed for use with Code Agents
Up to 5.5 trillion training tokens including source code, text-code grounding, and synthetic data
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