LMOps
lora-instruct
| LMOps | lora-instruct | |
|---|---|---|
| 6 | 1 | |
| 3,186 | 97 | |
| 2.7% | - | |
| 8.1 | 7.0 | |
| 14 days ago | 4 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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LMOps
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Has anyone found a way to use Microsoft's Promptist in Stable Diffusion?
Microsoft released an open-sourced prompt optimizer. Has anyone used https://github.com/microsoft/LMOps for prompt optimization? They have it in this demo: https://huggingface.co/spaces/microsoft/Promptist, I'm not sure how to use it for 1.5.
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🚀 Microsoft Open Source LMOps: An AI Prompt Optimization Toolkit For Generative AI Models
Quick Read: https://www.marktechpost.com/2023/02/14/microsoft-open-source-lmops-an-ai-prompt-optimization-toolkit-for-generative-ai-models/ Paper: https://arxiv.org/pdf/2212.09611.pdf Github: https://github.com/microsoft/LMOps
- General technology for enabling AI capabilities with LLMs and Generative models
- microsoft/LMOps: General technology for enabling AI capabilities w/ LLMs and Generative AI models
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Microsoft Promptist : Optimising Stable Diffusion prompts via a language model fine-tuned with reinforcement learning
Project Page : https://github.com/microsoft/LMOps/tree/main/promptist
lora-instruct
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Training a LoRA with MPT Models
Hi, i have created custom data, same format as alphachas json file. And fine tuned mpt-7b-instruct using this link https://github.com/leehanchung/lora-instruct I have also used your patch, the fine tuning got successfull and also the loss got decreased but when am trying to make prediction using the fine tuned model am not getting correct output even on the trained data, it's generating output with lots of nonsense
What are some alternatives?
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
FastLoRAChat - Instruct-tune LLaMA on consumer hardware with shareGPT data
langchain - 🦜🔗 Build context-aware reasoning applications
AutoLearn-GPT - ChatGPT learns automatically.
Awesome-Efficient-LLM - A curated list for Efficient Large Language Models
mpt-lora-patch - Patch for MPT-7B which allows using and training a LoRA
CUPCAKEAGI - 🧁👋 Welcome to CupcakeAGI, where we bake up some sweet and creamy AGI goodness! 🍰🤖
Roy - Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.
ImageNet21K - Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
punica - Serving multiple LoRA finetuned LLM as one
Locomotive - Toolkit for training/converting LibreTranslate compatible language models 🚂
automata - Automata: The Future is Self-Written