TheTravellingEngineer/llama2-7b-chat-hf-guanaco

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Aug 2, 2023Architecture:Transformer Cold

TheTravellingEngineer/llama2-7b-chat-hf-guanaco is a 7 billion parameter language model developed by TheTravellingEngineer, based on Meta's Llama-2-7b-chat-hf architecture. It was fine-tuned using Supervised Fine-Tuning (SFT) with the Guanaco dataset, adopting a prompt style similar to the original Guanaco model. This model is optimized for chat-based applications and conversational AI, leveraging its Llama-2 foundation and Guanaco fine-tuning for improved dialogue capabilities.

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Model Overview

This model, llama2-7b-chat-hf-guanaco, is a 7 billion parameter large language model developed by TheTravellingEngineer. It is built upon Meta's Llama-2-7b-chat-hf base model, inheriting its robust architecture and capabilities.

Key Characteristics

  • Base Model: Utilizes the Llama-2-7b-chat-hf as its foundation.
  • Fine-tuning: Underwent Supervised Fine-Tuning (SFT) using the timdettmers/openassistant-guanaco dataset.
  • Prompt Style: Employs a prompt format consistent with the original Guanaco model, enhancing its conversational flow.
  • Format: Provided as a merged fp16 model.
  • Language: Primarily supports English (en).

Intended Use Cases

This model is particularly well-suited for:

  • Chat Applications: Designed for engaging in conversational dialogues.
  • Instruction Following: Benefits from its fine-tuning on a dataset known for instruction-based interactions.
  • Research and Development: Suitable for exploring Llama-2 based models with Guanaco fine-tuning.

Important Considerations

Users should be aware that this model is subject to the usage restrictions and licensing terms of the original Llama-2 model. It is provided without any warranty or guarantees.