An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
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Updated
Jun 13, 2024 - Python
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) excelling in free-form text-image composition and comprehension.
Aligning Large Language Models with Human: A Survey
开源SFT数据集整理,随时补充
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
The offical realization of InstructERC
[ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
Knowledge Verification to Nip Hallucination in the Bud
Code for the paper titled "Instruction Tuning With Loss Over Instructions"
Finetuning Google's Gemma Model for Translating Natural Language into SQL
Various LMs/LLMs below 3B parameters (for now) trained using SFT (Supervised Fine Tuning) for several downstream tasks
This project streamlines the fine-tuning process, enabling you to leverage Llama-2's capabilities for your own projects.
Fine tune Large Language Model on Mathematic dataset
A LLM challenge to (i) fine-tune pre-trained HuggingFace transformer model to build a Code Generation language model, and (ii) build a retrieval-augmented generation (RAG) application using LangChain
Knowledge Verification to Nip Hallucination in the Bud
Finetune Mistral 7b v1.0 on custom dataset
Binary classification of pathological heartbeats from ECG signals using 1D CNNs in PyTorch
使用LLaMA-Factory微调多模态大语言模型的示例代码 Demo of Finetuning Multimodal LLM with LLaMA-Factory
🦙 Llama 2 7B fine-tuned to revive Rick
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