teleboas/alpaca_mistral-7b-v0.2
teleboas/alpaca_mistral-7b-v0.2 is a 7 billion parameter language model developed by teleboas, fine-tuned from Mistral-7B-v0.2. This model specializes in instruction-following tasks, having been trained on the yahma/alpaca-cleaned dataset. It leverages the Mistral architecture with a 4096-token context length, making it suitable for general-purpose conversational AI and text generation applications.
Loading preview...
Model Overview
alpaca_mistral-7b-v0.2 is a 7 billion parameter language model developed by teleboas. It is a fine-tuned version of mistral-7b-v0.2, specifically optimized for instruction-following capabilities.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/mistral-7b-v0.2-bnb-4bit, which is based on the Mistral-7B-v0.2 architecture. - Training Data: Utilizes the
yahma/alpaca-cleaneddataset for instruction-tuning, enhancing its ability to follow commands and generate relevant responses. - Parameter Count: Features 7 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a context window of 4096 tokens, allowing for processing moderately long inputs.
Use Cases
This model is well-suited for applications requiring a capable instruction-following language model, such as:
- General-purpose chatbots and conversational agents.
- Text generation based on specific prompts or instructions.
- Prototyping and development where a smaller, efficient instruction-tuned model is beneficial.
Quantized Versions
A GGUF version of this model is available for optimized local inference: teleboas/alpaca_mistral-7b-v0.2-GGUF.