FastLoRAChat
ReAct
| FastLoRAChat | ReAct | |
|---|---|---|
| 2 | 1 | |
| 119 | 1,619 | |
| - | - | |
| 7.2 | 4.8 | |
| about 1 year ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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FastLoRAChat
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[P] FastLoRAChat Instruct-tune LLaMA on consumer hardware with shareGPT data
Announcing FastLoRAChat , training chatGPT without A100.
- FastLoRAChat – Lora finetuned LLM with ChatGPT capabality
ReAct
What are some alternatives?
ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
lora-instruct - Finetune Falcon, LLaMA, MPT, and RedPajama on consumer hardware using PEFT LoRA
EasyEdit - An Easy-to-use Knowledge Editing Framework for LLMs.
hyde - HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
LLM-Training-Puzzles - What would you do with 1000 H100s...
llama2-haystack - Using Llama2 with Haystack, the NLP/LLM framework.
AutoCog - Automaton & Cognition
gpt-j-fine-tuning-example - Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression
llm-search - Querying local documents, powered by LLM
alpaca-lora - Instruct-tune LLaMA on consumer hardware
mistral-src - Reference implementation of Mistral AI 7B v0.1 model.