yuiseki/tinyllama-coder-python-ja-wikipedia-amenokaku-v0.1
The yuiseki/tinyllama-coder-python-ja-wikipedia-amenokaku-v0.1 is a 1.1 billion parameter language model with a 2048-token context length. This model is a Hugging Face Transformers model, automatically pushed to the Hub. Further details regarding its architecture, training data, and specific optimizations are not provided in the available model card.
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Model Overview
This model, yuiseki/tinyllama-coder-python-ja-wikipedia-amenokaku-v0.1, is a 1.1 billion parameter language model hosted on the Hugging Face Hub. It is designed with a context length of 2048 tokens.
Key Characteristics
- Model Size: 1.1 billion parameters.
- Context Length: Supports a context window of 2048 tokens.
- Framework: Implemented as a Hugging Face Transformers model.
Limitations and Further Information
The provided model card indicates that specific details regarding its development, funding, model type, language(s), license, fine-tuning origins, repository, paper, demo, direct use cases, downstream use, out-of-scope use, biases, risks, limitations, training data, training procedure, evaluation metrics, environmental impact, technical specifications, and citation information are currently marked as "More Information Needed." Users should be aware of these missing details when considering its application.