Description
This repo contains GGUF format model files for OFA-Sys/InsTag.
About GGUF
GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
InsTagger is an tool for automatically providing instruction tags by distilling tagging results from InsTag.
InsTag aims analyzing supervised fine-tuning (SFT) data in LLM aligning with human preference. For local tagging deployment, we release InsTagger, fine-tuned on InsTag results, to tag the queries in SFT data. Through the scope of tags, we sample a 6K subset of open-resourced SFT data to fine-tune LLaMA and LLaMA-2 and the fine-tuned models TagLM-13B-v1.0 and TagLM-13B-v2.0 outperform many open-resourced LLMs on MT-Bench.
Model Description
Model type: Auto-regressive Models
Language(s) (NLP): English
License: apache-2.0
Finetuned from model: LLaMa-2
Model Sources [optional]
Repository:
https://github.com/OFA-Sys/InsTag
Paper: Arxiv
Demo: ModelScope Demo
