arcee-ai/llama_from_mistral_instruct_v2
The arcee-ai/llama_from_mistral_instruct_v2 is a 10.7 billion parameter language model. This model is based on the Llama architecture, fine-tuned from Mistral Instruct v2. It is designed for general instruction-following tasks, leveraging its substantial parameter count for robust performance. The model aims to provide a versatile foundation for various natural language processing applications.
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Model Overview
The arcee-ai/llama_from_mistral_instruct_v2 is a 10.7 billion parameter language model. It is built upon the Llama architecture and has been fine-tuned from the Mistral Instruct v2 base model. This model is intended for general instruction-following applications, providing a capable foundation for a wide range of NLP tasks.
Key Characteristics
- Parameter Count: 10.7 billion parameters, offering a balance between performance and computational efficiency.
- Base Model: Fine-tuned from Mistral Instruct v2, inheriting its strong instruction-following capabilities.
- Context Length: Supports a context window of 4096 tokens.
Intended Use Cases
This model is suitable for various direct use cases where instruction-following is critical. However, specific recommendations and detailed use cases are currently marked as "More Information Needed" in the model card. Users should exercise caution and conduct their own evaluations for specific applications, considering the general nature of the model's description.