Ramikan-BR/tinyllama-coder-py-v21
TEXT GENERATIONConcurrency Cost:1Model Size:1.1BQuant:BF16Ctx Length:2kPublished:Jun 10, 2024License:apache-2.0Architecture:Transformer Open Weights Cold
Ramikan-BR/tinyllama-coder-py-v21 is a 1.1 billion parameter Llama-based model developed by Ramikan-BR, fine-tuned from unsloth/tinyllama-chat-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is optimized for code generation tasks, particularly in Python, leveraging its efficient training methodology.
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Model Overview
Ramikan-BR/tinyllama-coder-py-v21 is a 1.1 billion parameter Llama-based language model, fine-tuned by Ramikan-BR. It originates from the unsloth/tinyllama-chat-bnb-4bit base model and was developed with a focus on efficient training.
Key Capabilities
- Efficient Training: This model was trained significantly faster using the Unsloth library and Huggingface's TRL library, indicating an optimized training process.
- Code Generation Focus: While not explicitly detailed in the README, its naming convention (
coder-py) suggests a specialization in generating Python code. - Compact Size: With 1.1 billion parameters, it offers a balance between performance and computational efficiency, making it suitable for resource-constrained environments.
Good For
- Developers seeking a lightweight, Llama-based model for code-related tasks, especially Python.
- Applications requiring efficient inference due to its smaller parameter count.
- Experimentation with models trained using Unsloth's accelerated methods.