FinaPolat/llama3_1_8b_thinking_ED

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 26, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

FinaPolat/llama3_1_8b_thinking_ED is an 8 billion parameter Llama 3.1 model developed by FinaPolat, fine-tuned from FinaPolat/llama3_1_8b_dpo-1k_ED. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Llama 3.1 architecture and 32768 token context length.

Loading preview...

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.