LLM 模型排行

[ICML 2025] Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning

🧪 SynthForge — toolkit for generating high-quality synthetic datasets for LLM fine-tuning. Multi-backend, filterable, GPU-accelerated. Early-stage experimental project.

Fine tuning Mistral-7b with PEFT(Parameter Efficient Fine-Tuning) and LoRA(Low-Rank Adaptation) on Puffin Dataset(multi-turn conversations between GPT-4 and real humans)

Adversarial LLM arena using GRPO + SFT to train a model that generates questions hard LLMs can't solve

Fine-tune a local LLM on your own chat history to mimic how you write — an AI doppelganger / digital-twin toolkit built on LLaMA-Factory (LoRA SFT).

This is a Generative AI bot fine tuned to become a Professional resume writer. It used Meta's LlaMA 2 LLM with langchain. System Prompt has been changed in order to change profile of AI.

Run IBM Granite 4.0 locally on Raspberry Pi 5 with Ollama.This is a privacy-first AI. Your data never leaves your device because it runs 100% locally. There are no cloud uploads and no third-party tracking.

Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

Gradio-based web UI for medical image interpretation using Google's MedGemma vision-language model.

One API to access Large Language Models in Java

Transformers PHP is a toolkit for PHP developers to add machine learning magic to their projects easily.

Development and deployment on AWS of a question-answer LLM model using Llama2 with 7B parameters and RAG with LangChain

Kikiola is a high-performance vector database written in Go.

A Cosmos API starter project to analyze files and chat with LLM.

Production-ready memory framework for AI agents. Dual-agent synthesis, self-evolution, composite scoring, multi-tenant isolation. REST API, Python SDK, CLI.

Lightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.

The blazingly fast in-memory vector database 🚀

The Anal-Queen of AI Browser Automation 🏴‍☠️ A beautifully fucked-up Skynet-powered browser automation script that harnesses neural brainfuck and machine learning chaos to give zero shits about anything while somehow still working perfectly.

This project is a multi-modal AI voice assistant that uses LM Studio, OpenAI API or Claude Code, audio processing with WhisperModel, speech recognition, clipboard extraction, and image processing to respond to user prompts.

Token-lean web microfetch for LLM agents: any URL → clean markdown via CLI, MCP server, and Claude Code plugin. Real browser-cookie auth, passkeys, anti-bot reach, on-by-default prompt-injection defense, plus on-device multimodal ASR/OCR. A single Rust binary — not a browser.