This is quantized version of Qwen/Qwen2.5-Coder-1.5B-Instruct based on updated weights (dated 06 Nov, 2024) and created using llama.cpp Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). For Qwen2.5-Coder, we release three base language models and instruction-tuned language models, 1.5, 7 and 32 (coming soon) billion parameters. 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. — 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 instruction-tuned 1.5B Qwen2.5-Coder model, which has the following features: — Type: Causal Language Models — Training Stage: Pretraining & Post-training — Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings -…
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, code, codeqwen, chat, qwen, qwen-coder, en, endpoints_compatible
Лайков: 3 | Загрузок: 2,908
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
