Alibaba: qwen2.5-coder-7b-instruct:free
Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE, SwiGLU, RMSNorm, and GQA attention with support for up to 128K tokens using YaRN-based extrapolation. It is trained on a large corpus of source code, synthetic data, and text-code grounding, providing robust performance across programming languages and agentic coding workflows. This model is part of the Qwen2.5-Coder family and offers strong compatibility with tools like vLLM for efficient deployment. Released under the Apache 2.0 license.
Bu modelin tüm sağlayıcıları şu anda meşgul
Her üst akış sağlayıcısı hız sınırına ulaştı. Sınırlar kalkınca model otomatik olarak geri gelir, genellikle birkaç saat içinde. Biraz sonra tekrar deneyin ya da başka bir modele geçin.
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