Alphacode-AI/Alphallama3-8B
Alphacode-AI/Alphallama3-8B is an 8 billion parameter language model developed by Alphacode-AI, fine-tuned from Meta-Llama-3-8B. This model incorporates custom in-house data to enhance its capabilities. With an 8192-token context length, it is designed for general language understanding and generation tasks.
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Alphacode-AI/Alphallama3-8B Overview
Alphacode-AI/Alphallama3-8B is an 8 billion parameter language model developed by Alphacode-AI. It is a fine-tuned variant of Meta-Llama-3-8B, leveraging proprietary custom in-house data to refine its performance and capabilities. The model supports an 8192-token context length, making it suitable for processing moderately long inputs and generating coherent responses.
Key Capabilities
- General Language Understanding: Processes and interprets natural language queries and instructions.
- Text Generation: Capable of generating human-like text for various applications.
- Custom Data Integration: Benefits from fine-tuning on Alphacode-AI's unique dataset, potentially offering specialized performance in areas covered by this data.
Training Details
The model was trained using an A100x4 GPU setup, employing advanced training frameworks such as DeepSpeed, HuggingFace TRL Trainer, and HuggingFace Accelerate to optimize the fine-tuning process.
Good For
- Applications requiring a robust 8B parameter model with a decent context window.
- Tasks that can benefit from a Llama-3 base model enhanced with custom data.
- General-purpose language tasks where the specific enhancements from Alphacode-AI's fine-tuning might provide an advantage.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.