
The new CodeQwen1.5-7B series, including CodeQwen1.5-7B and CodeQwen1.5-7B-Chat, has been introduced, featuring advancements in language model technology for coding tasks. These models are built on the Qwen1.5 language model, pre-trained with 3 trillion tokens of code-related data. The CodeQwen1.5-7B model supports various tasks such as code generation, code editing, SQL, and chat functionalities. It is noted for its performance, outperforming competitors like DeepSeek Coder and ChatGPT 3.5 on the SWE bench. Additionally, the models are open access with weights available on the Hub and require about 5GB of RAM.
WaveCoder ultra 6.7b by @TeamCodeLLM_AI https://t.co/57kUfLf9VL -- Incredible coding model for its size thanks their new CodeOcean dataset -- Tuned from 20,000 high quality instructions -- Intended for generation, summarization, repair, and translation More options than ever…
CodeQwen-1.5-7B-Chat 🧑💻🤖 — 7 billion parameters coding chat model (~5GB RAM needed) — up to 64K tokens context length 🫨 https://t.co/3z33MBB37x
The new CodeQwen1.5-7B models rank very high on the BigCode Leaderboard, outperforming much larger models🚀 https://t.co/V0eG5i6l3D https://t.co/od2mjcJoNI https://t.co/htFwU5s1eR




