Model Overview

FinaPolat/llama3_1_8b_thinking_ED is an 8 billion parameter Llama 3.1 model developed by FinaPolat. It is a fine-tuned version of the FinaPolat/llama3_1_8b_dpo-1k_ED base model.

Key Characteristics

• Architecture: Llama 3.1 with 8 billion parameters.
• Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
• Context Length: Supports a substantial context window of 32768 tokens.
• License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for a broad range of natural language processing tasks, benefiting from its efficient training and Llama 3.1 foundation. Its optimized training process suggests potential for rapid iteration and deployment in applications requiring a capable 8B parameter model.