AngeloCurti22/LLaMa_coder_base_sft
TEXT GENERATIONPricing:Input $0.108 / Output $0.804Concurrent Unit Cost:1Model Size:1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Mar 2, 2025Architecture:Transformer Featherless Exclusive Cold
AngeloCurti22/LLaMa_coder_base_sft is a 1 billion parameter language model with a 32768 token context length. This model is a base version, likely intended for further fine-tuning or as a foundational component for code-related tasks. Its primary use case would involve applications requiring a compact yet capable model for understanding or generating code, given its 'coder_base' designation.
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Overview
AngeloCurti22/LLaMa_coder_base_sft is a 1 billion parameter language model designed with a substantial context window of 32768 tokens. This model is presented as a base version, indicating its foundational nature for specific applications.
Key Characteristics
- Parameter Count: 1 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Features a large context window of 32768 tokens, enabling it to process and understand extensive code snippets or long sequences of text.
- Base Model: Positioned as a 'base' model, suggesting it serves as a strong starting point for further specialized fine-tuning, particularly in coding domains.
Good for
- Code-related tasks: The 'coder_base' designation implies suitability for tasks involving code understanding, generation, or analysis.
- Further fine-tuning: Ideal for developers looking to build specialized models on top of a capable base, especially for domain-specific coding challenges.
- Applications requiring long context: The extensive context window makes it suitable for processing large files, complex codebases, or detailed technical documentation.