duyntnet/Llama-3-Instruct-8B-SPPO-Iter3-imatrix-GGUF

Quantizations of https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3

Inference Clients/UIs

• —llama.cpp
• —JanAI
• —KoboldCPP
• —text-generation-webui
• —ollama
• —GPT4All

From original readme

This model was developed using Self-Play Preference Optimization at iteration 3, based on the meta-llama/Meta-Llama-3-8B-Instruct architecture as starting point. We utilized the prompt sets from the openbmb/UltraFeedback dataset, splited to 3 parts for 3 iterations by snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset. All responses used are synthetic.

Model Description

• —Model type: A 8B parameter GPT-like model fine-tuned on synthetic datasets.
• —Language(s) (NLP): Primarily English
• —License: Apache-2.0
• —Finetuned from model: meta-llama/Meta-Llama-3-8B-Instruct