yuiseki/tinyllama-coder-python-ja-amenokaku-v0.1
TEXT GENERATIONConcurrency Cost:1Model Size:1.1BQuant:BF16Ctx Length:2kPublished:Mar 27, 2024Architecture:Transformer Cold
The yuiseki/tinyllama-coder-python-ja-amenokaku-v0.1 is a 1.1 billion parameter language model developed by yuiseki. This model is designed for code generation, specifically focusing on Python and Japanese language contexts. With a context length of 2048 tokens, it aims to provide efficient code assistance for developers working in these areas.
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Overview
The yuiseki/tinyllama-coder-python-ja-amenokaku-v0.1 is a compact 1.1 billion parameter language model. It is shared as a Hugging Face Transformers model, automatically generated from a base model. The model's primary focus is on code-related tasks, particularly within Python and Japanese language environments.
Key Capabilities
- Code Generation: Optimized for generating code, likely in Python.
- Multilingual Support: Specifically tailored for Japanese language contexts in addition to code.
- Compact Size: At 1.1 billion parameters, it offers a smaller footprint compared to larger models, potentially enabling more efficient deployment.
- Context Window: Features a 2048-token context length, suitable for handling moderately sized code snippets and related instructions.
Good for
- Developers seeking a lightweight model for Python code generation.
- Applications requiring code assistance with a focus on Japanese language input or output.
- Environments where computational resources are limited, benefiting from a smaller model size.