This is quantized version of Qwen/Qwen2.5-Coder-14B created using llama.cpp Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: — Significantly improvements in code generation, code reasoning and code fixing. Base on the strong Qwen2.5, we scale up the training tokens into 5.5 trillion including source code, text-code grounding, Synthetic data, etc. Qwen2.5-Coder-32B has become the current state-of-the-art open-source codeLLM, with its coding abilities matching those of GPT-4o. — A more comprehensive foundation for real-world applications such as Code Agents. Not only enhancing coding capabilities but also maintaining its strengths in mathematics and general competencies. — Long-context Support up to 128K tokens. This repo contains the 14B Qwen2.5-Coder model, which has the following features: — Type: Causal Language Models — Training Stage: Pretraining — Architecture: transformers with RoPE, SwiGLU, RMSNorm,…
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, code, qwen, qwen-coder, codeqwen, en, endpoints_compatible, conversational
Лайков: 4 | Загрузок: 169
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
