Open LLM List
Llama 3.3 70 B Inst Ablit Flammades S L E R P G G U F
mradermacherIntroduction
The Llama-3.3-70B-Inst-Ablit-Flammades-SLERP-GGUF model, created by mradermacher, is a sophisticated language model designed for conversational tasks. It utilizes the GGUF library and is available in English. The model is part of a series of quantized versions aimed at improving performance and efficiency.
Architecture
The model is based on the schonsense/Llama-3.3-70B-Inst-Ablit-Flammades-SLERP architecture. It incorporates various quantization techniques, which are sorted by size and quality. The architecture supports GGUF file formats, making it compatible with various inference endpoints and other features.
Training
The model has been quantized by mradermacher, with multiple quantization levels provided for different use cases. This includes types such as Q2_K, Q3_K_S, and Q4_K_M, among others, each offering different balances of size and quality. The quantizations are designed to optimize performance, with some focusing on speed while others on quality.
Guide: Running Locally
- Install Required Libraries: Ensure you have the
transformerslibrary installed, which is crucial for running this model. - Download Model Files: Access the different quantized versions of the model from the provided links. Choose the appropriate quantization based on your needs (e.g., Q4_K_S for speed).
- Set Up Environment: Configure your environment to support GGUF files. Follow instructions from resources like TheBloke's READMEs for file concatenation if needed.
- Run the Model: Execute the model locally using your setup. Ensure adequate computational resources are available, especially if using larger quantization files.
Cloud GPUs: Consider leveraging cloud GPU services like AWS, Google Cloud, or Azure to efficiently run larger models or for faster inference speeds.
License
The model is distributed under the llama3.3 license, which may have specific terms and conditions for use. Ensure compliance with the license requirements when utilizing the model in projects or applications.
