Llama Ecosystem
Llama is an open-source toolkit for training and fine-tuning large language models (LLMs). It provides tools for efficient model development, including data preprocessing, training scripts, and model evaluation. Suitable for research and production, Llama supports various architectures and scales to accommodate different hardware setups.
Keywords
Languages
Llama3-8B_Emotion_Text_Classification_LoRA
Emotion text classification using Llama3-8b with LoRA and FlashAttention
harbor
Effortlessly run LLM backends, APIs, frontends, and services with one command
pippenbot
V-Zen
V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM Resources
LectureSummarizer
LectureSummarizer is an AI-powered website that transcribes and summarizes lectures
GraphRAG4OpenWebUI
GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API
Subspace-Tuning
A generalized framework for subspace tuning methods in parameter efficient fine-tuning
GitHubSentinel
GitHub Sentinel 是专为大模型（LLMs）时代打造的智能信息检索和高价值内容挖掘 AI Agent。它面向那些需要高频次、大量信息获取的用户，特别是开源爱好者、个人开发者和投资人等。GitHub Sentinel 不仅能帮助用户自动跟踪和分析 GitHub 开源项目 的最新动态，还能快速扩展到其他信息渠道，如 Hacker News 的热门话题，提供更全面的信息挖掘与分析能力。
EAGLE
EAGLE: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
LLaVA-NeXT-Image-Llama3-Lora
LLaVA-NeXT-Image-Llama3-Lora, Modified from https://github
Ovis
A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings
