TheTravellingEngineer/llama2-7b-hf-guanaco
TheTravellingEngineer/llama2-7b-hf-guanaco is a 7 billion parameter language model based on Meta's Llama-2 architecture. It was fine-tuned using Supervised Fine-Tuning (SFT) on the Guanaco dataset, enhancing its conversational capabilities. This model is designed for general-purpose English language tasks, particularly those benefiting from instruction-following and dialogue generation.
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Model Overview
TheTravellingEngineer/llama2-7b-hf-guanaco is a 7 billion parameter language model built upon Meta's Llama-2-7b-hf base model. It has undergone Supervised Fine-Tuning (SFT) using the timdettmers/openassistant-guanaco dataset, which is known for its high-quality conversational data. This fine-tuning process aims to improve the model's ability to follow instructions and engage in dialogue, similar to the original Guanaco model's prompt style.
Key Characteristics
- Base Architecture: Meta Llama-2-7b-hf
- Parameter Count: 7 billion
- Fine-tuning Method: Supervised Fine-Tuning (SFT)
- Training Data: Guanaco dataset (timdettmers/openassistant-guanaco)
- Language: English (en)
- Format: Merged fp16 model
Use Cases
This model is suitable for applications requiring:
- Instruction Following: Responding to user prompts and commands effectively.
- Dialogue Generation: Engaging in conversational exchanges.
- General Text Generation: Creating coherent and contextually relevant English text.
Users should be aware that this model is subject to the usage restrictions and license of the original Llama-2 model.