Showing 81-100 of 115 projects
A slimmed-down, fine-tuned fork of the oh-my-opencode project, optimized for efficient consumption of AI model tokens.
A comprehensive guide for building production-ready RAG-based LLM applications using the Ray framework.
LongWriter is a fine-tuned large language model (LLM) that can generate high-quality long-form text of 10,000+ words from long-form context.
Musubi-tuner is a Python-based tool for fine-tuning and optimizing AI models.
An open-source implementation for fine-tuning Qwen-VL series, a multimodal vision-language model by Alibaba Cloud.
An open-source project focused on building a large language model that understands human emotions and relationships, with tutorials on prompt engineering, RAG, agents, and LLM fine-tuning.
An open-source Chinese conversational AI model with tools for fine-tuning and optimizing the model for downstream tasks.
A Python library for synthetic data curation and structured data extraction for machine learning models.
A Rust library for running customized and fine-tuned large language models (LLMs) locally or on the edge.
Ultrafast serverless GPU inference, sandboxes, and background jobs for AI-focused developers.
This repository provides fine-tuning code for the ChatGLM 6B language model and the Alpaca model, enabling developers to customize these AI models for their own use cases.
A PyTorch implementation of OpenAI's pre-trained transformer language model for fine-tuning and inference.
Adapts Meta AI's Segment Anything model to downstream tasks using adapters and prompts.
LongLLaMA is a large language model capable of handling long contexts.
A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.
Scalable data pre processing and curation toolkit for Large Language Models (LLMs)
Fine-tuning language models from human preferences
An open-source framework for building knowledgeable large language models with fine-tuning capabilities.
A Python library for quickly editing and fine-tuning large language models like GPT, BLOOM, and LLAMA.
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
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