ai-maker-space/instruct-tuned-llama-7b-hf-alpaca_gpt_4_5_000_samples
The ai-maker-space/instruct-tuned-llama-7b-hf-alpaca_gpt_4_5_000_samples model is an instruct-tuned LLaMA 2 7B parameter language model developed by Chris Alexiuk. Fine-tuned from the llama-2-7b-hf base model, it leverages 5,000 samples from the Alpaca-GPT4 dataset. This model is designed for general English language instruction-following tasks, building upon LLaMA 2's foundational capabilities with a 4096-token context length.
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Overview
This model, developed by Chris Alexiuk, is an instruct-tuned variant of the LLaMA 2 7B parameter language model. It is specifically fine-tuned from the llama-2-7b-hf base model to enhance its instruction-following capabilities.
Key Characteristics
- Base Model: LLaMA 2 7B, known for its strong general language understanding.
- Instruction Tuning: Utilizes 5,000 samples from the Alpaca-GPT4 dataset to improve its ability to follow instructions and generate relevant responses.
- Language: Primarily focused on English language tasks.
- License: Governed by the LLaMA 2 Community License.
Intended Uses
This model is suitable for a variety of general-purpose instruction-following applications where a 7B parameter model is appropriate. For detailed information on the broader intended uses and limitations, users should refer to Meta's LLaMA 2 Model Card, as this instruct-tuned version builds directly on that foundation.