Opencoder 8B Instruct - Details

Opencoder 8B Instruct is a large language model developed by Infly-Ai, a company. It features 8B parameters and is released under the MIT license. The model is designed for instruction following and focuses on open-source code LLMs with 1.5B/8B parameters, pretrained on 2.5T tokens (90% code), achieving top-tier benchmark performance.

OpenCoder is an open and reproducible code LLM family including 1.5B and 8B base and chat models, supporting English and Chinese. Pretrained on 2.5 trillion tokens (90% raw code, 10% code-related web data), with 4.5M SFT examples. Offers full transparency with model weights, inference code, training data, and detailed experiments. Achieves top-tier performance in code benchmarks.

Opencoder 8B Instruct has 8b parameters, placing it in the mid-scale category, which balances performance and resource efficiency for moderate complexity tasks. Its 8k context length falls into the moderate range, enabling it to handle longer texts but with limitations for extremely extended sequences. The model’s parameter size allows for robust code understanding and generation, while the context length supports extended reasoning without overwhelming computational demands.

• Parameter Size: 8b
• Context Length: 8k

Opencoder 8B Instruct is a model designed for research and development in code AI, with possible applications in code generation, completion, translation, and understanding. Its support for English and Chinese makes it a potential tool for multilingual code tasks, though further exploration is needed to determine its effectiveness in specific scenarios. Possible uses could include assisting developers in writing or analyzing code, translating code between languages, or enhancing code comprehension for educational purposes. However, these possible applications require thorough investigation to ensure they align with specific needs and constraints. The model’s monolingual nature may limit its potential uses in cross-lingual tasks beyond the supported languages.

• research and development in code AI
• code generation and completion
• code translation and understanding

Opencoder 8B Instruct is a model with possible applications in areas such as code generation, completion, and translation, as well as research and development in code AI. Possible uses might include assisting developers in writing or analyzing code, translating code between supported languages, or enhancing code comprehension for educational purposes. Potential areas of application could also involve exploring new techniques in code understanding, though these possible uses require thorough evaluation to ensure alignment with specific needs. The model’s monolingual design, supporting English and Chinese, may influence its potential effectiveness in cross-lingual tasks beyond these languages. Each possible application must be thoroughly evaluated and tested before deployment to ensure reliability and suitability for the intended task.

• research and development in code AI
• code generation and completion
• code translation and understanding

Opencoder 8B Instruct with the q4 quantization requires a GPU with at least 16GB VRAM and a system with 32GB RAM for smooth operation, making it suitable for mid-range hardware setups. This medium q4 version balances precision and performance, allowing efficient deployment on devices with moderate resources. Possible applications of this version may vary depending on the specific use case, so users should verify compatibility with their hardware.

• fp16, q4, q8

Opencoder 8B Instruct is a large language model developed by Infly-Ai, featuring 8b parameters and a 8k context length, designed for code-related tasks with support for English and Chinese. It offers open-source transparency, strong performance in code benchmarks, and a balance between efficiency and capability for research and development in code AI.

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