Showing 4 open source projects for "programming without coding software"

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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

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  • 1
    Qwen3-Coder

    Qwen3-Coder

    Code version of Qwen3, the large language model by Alibaba Cloud

    ... Claude Sonnet. Qwen3-Coder supports an exceptionally long context window of 256,000 tokens, extendable to 1 million tokens using Yarn, enabling repository-scale code understanding and generation. It is capable of handling 358 programming languages, from common to niche, making it versatile for a wide range of development environments. The model integrates a specially designed function call format and supports popular platforms such as Qwen Code and CLINE for agentic coding workflows.
    Downloads: 111 This Week
    Last Update:
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  • 2
    Qwen2.5-Coder

    Qwen2.5-Coder

    Qwen2.5-Coder is the code version of Qwen2.5, the large language model

    Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. Qwen2.5-Coder, with its long context length of 128K tokens, is ideal...
    Downloads: 3 This Week
    Last Update:
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  • 3
    bloom

    bloom

    Multilingual 176B language model for text and code generation tasks

    BLOOM (BigScience Large Open-science Open-access Multilingual Language Model) is a 176-billion parameter autoregressive language model developed by the BigScience Workshop. It generates coherent text in 46 natural languages and 13 programming languages, making it one of the most multilingual LLMs publicly available. BLOOM was trained on 366 billion tokens using Megatron-DeepSpeed and large-scale computational resources. It can perform various tasks via prompt-based learning, even without task...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Devstral

    Devstral

    Agentic 24B LLM optimized for coding tasks with 128k context support

    Devstral-Small-2505 is a 23.6B parameter language model fine-tuned by Mistral AI and All Hands AI, built specifically for agentic software engineering tasks. Based on Mistral-Small-3.1, it supports a 128k context window and excels in exploring codebases, editing multiple files, and tool usage. The model achieves state-of-the-art open-source performance on SWE-Bench Verified with a score of 46.8%, surpassing much larger models. Devstral is designed for local and production-level deployments...
    Downloads: 0 This Week
    Last Update:
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