Opencoder 1.5B Instruct - Details

Opencoder 1.5B Instruct is a large language model developed by Infly-Ai, a company specializing in open-source code LLMs. With 1.5 billion parameters, it is designed for instruction-following tasks and is released under the MIT license. The model is part of a series featuring 1.5B and 8B parameter variants, pretrained on 2.5T tokens with 90% code, achieving top-tier performance in benchmark evaluations. Its focus on code generation and understanding makes it a versatile tool for developers and researchers.

OpenCoder is an open and reproducible code LLM family offering 1.5B and 8B base and chat models with support for English and Chinese. Pretrained on 2.5 trillion tokens (90% raw code and 10% code-related web data), it achieves top-tier performance through 4.5M high-quality SFT examples. The project provides model weights, inference code, training data, data processing pipelines, ablation results, and detailed training protocols, enabling researchers to build and innovate. Designed for transparency and accessibility, OpenCoder empowers the community to advance code AI with a robust open foundation.

Opencoder 1.5B Instruct is a large language model with 1.5 billion parameters and an 8k context length, positioning it as a small-scale model suitable for efficient task execution while maintaining moderate capability for handling extended input sequences. The 1.5b parameter size falls within the small model category, offering fast inference and lower resource demands, ideal for applications requiring simplicity and speed. The 8k context length places it in the moderate context range, enabling it to process moderately long texts but limiting its effectiveness for extremely lengthy documents. These specifications make it a balanced choice for developers seeking performance without excessive computational overhead.

• Parameter Size: 1.5b (Small Models: Fast and resource-efficient, suitable for simple tasks)
• Context Length: 8k (Moderate Contexts: Handles moderate-length tasks, still limited for very long texts)

Opencoder 1.5B Instruct is a large language model designed for code generation, code completion, and code translation, with support for English and Chinese. Its mono-lingual nature means it is optimized for tasks in one language at a time, which could influence its applicability to multilingual workflows. Possible uses include assisting developers in writing code snippets, improving code quality through completion suggestions, or translating code between programming languages. However, these potential applications require thorough investigation to ensure alignment with specific project needs, as the model’s performance in real-world scenarios may vary. The model’s focus on code-related tasks suggests it could be a tool for enhancing productivity in software development, but further testing is necessary to confirm its effectiveness.

• Intended Uses: code generation, code completion, code translation
• Supported Languages: english, chinese
• Is_Mono_Lingual: yes

Opencoder 1.5B Instruct is a large language model with 1.5 billion parameters and 8k context length, designed for code generation, code completion, and code translation in English and Chinese. Possible applications include assisting developers in writing or refining code, generating documentation for software projects, translating code between programming languages, or supporting educational platforms in teaching coding concepts. These possible uses could enhance productivity in software development workflows, but they require thorough evaluation to ensure alignment with specific needs. The model’s focus on code-related tasks suggests it may be particularly suited for scenarios involving programming languages, though further testing is necessary to confirm its effectiveness. Each possible application must be carefully assessed before deployment to ensure reliability and suitability.

• Possible Applications: code generation, code completion, code translation
• Supported Languages: english, chinese
• Parameter Size: 1.5b
• Context Length: 8k

Opencoder 1.5B Instruct’s medium q4 version is optimized for systems with at least 8GB VRAM, balancing precision and performance for efficient execution. This quantized variant reduces memory usage while maintaining reasonable accuracy, making it suitable for developers with mid-range GPUs. The model’s hardware requirements depend on the chosen quantization, so users should verify their graphics card’s capabilities before deployment.

• Quantized Versions: fp16, q4, q8

Opencoder 1.5B Instruct is a large language model developed by Infly-Ai with 1.5 billion parameters and an 8k context length, designed for code-related tasks like generation, completion, and translation in English and Chinese. It operates under the MIT license, offering a balance of performance and efficiency for developers, with potential applications in software development and educational tools, though further evaluation is needed for specific use cases.

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