Starcoder 15B - Details

Starcoder 15B is a large language model designed for coding tasks, featuring extensive knowledge across programming languages. It has 15b parameters and is maintained by the Bigcode Project, a nonprofit organization. The model is released under the BigCode Open Rail-M V1 License Agreement (BigCode-Open-RAIL-M-v1), ensuring open access and collaboration in the development of coding-related AI tools.

Starcoder 15.5B is a large language model with 15.5B parameters trained on 80+ programming languages from The Stack (v1.2), excluding opt-out requests. It employs Multi Query Attention with an 8192-token context window and was trained using the Fill-in-the-Middle objective on 1 trillion tokens. The model is optimized for code generation and technical assistance tasks, leveraging its extensive programming language knowledge to support developers and technical users.

Starcoder 15B is a 15b parameter model with an 8k context length, placing it in the mid-scale category for parameter size and moderate-to-long range for context length. This configuration enables it to handle complex coding tasks and longer code snippets effectively, though it requires significant computational resources. The 15b parameter count allows for robust language understanding and generation, while the 8k context window supports extended interactions, making it suitable for technical workflows that demand depth and continuity.

• Parameter Size: 15b
• Context Length: 8k

Starcoder 15B is a large language model designed for technical assistance, code generation, and code completion, with possible applications in software development, algorithm design, and programming education. Its 15b parameter size and 8k context length suggest it could support possible scenarios such as generating complex code snippets, debugging, or assisting with multi-step technical problems. However, these possible uses require further exploration to confirm their effectiveness and suitability for specific tasks. The model’s focus on programming languages makes it a possible tool for developers seeking automation or guidance, but its possible limitations in non-coding contexts remain to be tested.

• technical assistance
• code generation
• code completion

Starcoder 15B is a large language model with possible applications in areas like technical assistance, code generation, and code completion, as well as possible scenarios such as collaborative coding or educational support. Its 15b parameter size and 8k context length suggest it could support possible uses in automating repetitive coding tasks, enhancing developer workflows, or providing possible guidance for complex programming challenges. However, these possible applications require thorough evaluation to ensure they align with specific needs and constraints. The model’s focus on programming languages makes it a possible tool for technical environments, but its possible limitations in non-coding contexts remain to be explored.

• technical assistance
• code generation
• code completion

Starcoder 15B’s medium q4 version requires at least 12GB of VRAM for efficient operation, making it suitable for mid-range GPUs like the RTX 3090 or similar. This quantized version balances precision and performance, allowing possible use on systems with moderate hardware, though higher VRAM may be needed for complex tasks. The model’s 15b parameter size and 8k context length mean possible applications could demand additional resources depending on workload.

• fp16, q2, q3, q4, q5, q6, q8

Starcoder 15B is a large language model with 15 billion parameters and an 8,000-token context length, designed for code generation, code completion, and technical assistance. It supports multiple quantized versions, including q4, to balance performance and resource efficiency for varied deployment needs.

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