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
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