Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
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Updated
Jul 6, 2024 - Python
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
turnkey self-hosted offline transcription and diarization service with llm summary
Build LLM-powered robots in your garage with MachinaScript For Robots!
Small and Efficient Mathematical Reasoning LLMs
Instruct LLMs for flat and nested NER. Fine-tuning Llama and Mistral models for instruction named entity recognition. (Instruction NER)
Finetune mistral-7b-instruct for sentence embeddings
Chat With RTX Python API
Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
Deploy a RESTful API Server to interact with Ollama and Stable Diffusion
A Gradio web UI for Large Language Models. Supports LoRA/QLoRA finetuning,RAG(Retrieval-augmented generation) and Chat
Co-create a PowerPoint presentation with Generative AI
[ACL 2024] Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
Reference implementation of Mistral AI 7B v0.1 model.
A Mistral-7B-Instruct + LangChain powered sample AI persona chatbot (via HuggingFace)
Modal LLM LLama.cpp based model deployment as part of series of Model as a Service (MaaS)
A python script that can help you get karma by commenting on subreddits automatically.
RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3 and OpenAI Models via the Groq API.
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