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OFA-Sys-InsTagger-GGUF
hassanraha/OFA-Sys-InsTagger-GGUF
OFA-Sys-InsTagger-GGUF is a text generation model from hassanraha. Use it when you need the model to write or continue text. It is set up for transformers.
Description This repo contains GGUF format model files for OFA-Sys/InsTag.
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024
- SHA
- b1857b8a
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Model card
From the Hugging Face model README
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
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024