strawberry34/Llama-3.1-8B-PYTHON
strawberry34/Llama-3.1-8B-PYTHON is an 8 billion parameter Llama-3.1 model developed by strawberry34, fine-tuned for Python-related tasks. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for applications requiring efficient processing of Python code and related language understanding.
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Model Overview
strawberry34/Llama-3.1-8B-PYTHON is an 8 billion parameter language model based on the Llama-3.1 architecture, developed by strawberry34. It was fine-tuned from unsloth/Meta-Llama-3.1-8B-bnb-4bit with a focus on Python-related applications.
Key Characteristics
- Architecture: Llama-3.1-8B
- Parameter Count: 8 billion
- Training Method: Utilizes Unsloth and Huggingface's TRL library for accelerated training.
- Context Length: Supports a context length of 32768 tokens.
Use Cases
This model is particularly well-suited for tasks involving Python code generation, understanding, and other Python-centric natural language processing applications. Its optimized training process suggests efficiency in deployment and fine-tuning for specific Python-related workflows.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.