longtermrisk/Llama-3.1-8B-german-city-names-first-third-v2-sft-seed2-epoch3
The longtermrisk/Llama-3.1-8B-german-city-names-first-third-v2-sft-seed2-epoch3 is an 8 billion parameter Llama-3.1 instruction-tuned model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is specifically adapted from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Loading preview...
Model Overview
This model, developed by longtermrisk, is an 8 billion parameter Llama-3.1 based language model. It has been fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama-3.1 with 8 billion parameters.
- Training: Fine-tuned using the Unsloth library for accelerated training and Huggingface's TRL library.
- Context Length: Supports a context length of 8192 tokens.
Intended Use
This model is suitable for applications requiring a Llama-3.1 8B instruction-tuned model, particularly benefiting from the efficient fine-tuning methodology employed. Its specific fine-tuning on "german-city-names-first-third-v2" suggests potential specialization in tasks related to German city names or similar structured data, though further details on this specific dataset are not provided in the README.