Starcoder 1B Base - Details

Starcoder 1B Base is a large language model developed by Bigcodeproject, a non-profit organization. It features 1b parameters, making it a compact yet powerful tool for coding tasks. The model is released under the BigCode Open Rail-M V1 License Agreement, ensuring open access and ethical use. Its primary focus is on programming, with extensive knowledge across multiple coding languages.

StarcoderBase-1B is a 1B parameter model trained on 80+ programming languages from The Stack (v1.2), with opt-out requests excluded. It employs Multi Query Attention to enhance efficiency and supports a context window of 8192 tokens, enabling complex coding tasks. The model was trained using the Fill-in-the-Middle objective on 1 trillion tokens, ensuring robust language understanding and generation capabilities. Its design prioritizes coding accuracy and versatility across diverse programming scenarios.

StarcoderBase-1B is a 1b parameter model with a 8k token context length, placing it in the small parameter category and moderate context range. Its 1b parameters ensure fast and resource-efficient performance, ideal for straightforward coding tasks, while the 8k context length allows handling moderate-length code snippets and queries, though it may struggle with extremely long documents. This balance makes it accessible for developers seeking a lightweight yet capable tool for programming challenges.
- Parameter Size: 1b
- Context Length: 8k

StarcoderBase-1B is a model designed for code generation, code completion, and technical assistance, with possible applications in areas like software development, algorithm design, and programming education. Its 1b parameter size and 8k token context length suggest it could support possible tasks such as writing code snippets, debugging, or explaining programming concepts. However, these possible uses require further investigation to ensure they align with specific needs and constraints. The model’s focus on coding tasks makes it a possible tool for developers seeking efficient, language-agnostic support.

• code generation
• code completion
• technical assistance

StarcoderBase-1B is a 1b parameter model with a 8k token context length, making it a possible tool for tasks like code generation, code completion, and technical assistance. Its possible applications could include supporting developers in writing code snippets, debugging, or explaining programming concepts. It might also be possible to use it for creating educational materials or assisting in algorithm design. However, these possible uses require thorough evaluation to ensure they meet specific requirements and constraints. The model’s focus on programming makes it a possible resource for developers seeking efficient, language-agnostic support, but each possible application must be carefully tested before deployment.
- code generation
- code completion
- technical assistance
- algorithm design

StarcoderBase-1B in its medium q4 version is optimized for balanced precision and performance, requiring at least 8GB VRAM for efficient operation, though lower VRAM systems may run it with adjustments. This possible configuration makes it accessible for developers with mid-range GPUs, while system memory should ideally be 32GB or more for stability. The q4 version reduces computational demands compared to higher-precision variants like fp16, making it a possible choice for resource-constrained environments. However, hardware compatibility must be thoroughly evaluated before deployment.
- fp16, q2, q3, q4, q5, q6, q8

StarcoderBase-1B is a 1b parameter model with an 8k token context length, trained on 80+ programming languages from The Stack (v1.2) using the Fill-in-the-Middle objective on 1 trillion tokens, optimized for coding tasks with Multi Query Attention. Developed by Bigcodeproject, a non-profit, it operates under the BigCode Open Rail-M V1 License Agreement, making it accessible for open-source development and technical assistance.

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