Havuz

Open-source code for training and scaling up energy-based foundation models.

Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune,

Compile organizational policy into verifiable decision training data.

Best AI Workload Orchestrator for Kubernetes Python 2026

A native macOS lab for teaching tiny language models to think — build the architecture, train the weights, and watch a small LLM emerge from

Your own AI workspace on your own machines: chat, agents, coding, knowledge bases (RAG) and fine-tuning with local models. Open source (AGPL

Halo is an open-source framework built by White Circle for training large language and multimodal models

Self-hosted, one-tab workbench for the whole training lifecycle: build Character/Concept/Style datasets (generate, scrape, or triage a big d

Your AI intranet: network the computers you already own for inference and training.

Speedrunning LoRA fine-tuning: frozen task, frozen hardware, public wall-clock leaderboard. modded-nanogpt for fine-tuning.

LoRA fine-tune Gemma 4 31B to speak caveman-mode natively. Style: github.com/JuliusBrussee/caveman

A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence laye

MetaClaw, agent konuşmalarından öğrenme sinyalleri çıkarıp skill güncellemeleri ve isteğe bağlı LoRA tabanlı RL eğitimiyle agent’ı zaman içinde iyileştirmeyi amaçlayan bir yazılımdır.

Neden yükseliyor · 3492 yıldız ve README’de duyurulan teknik rapor ile birden fazla agent entegrasyonu dikkat çekmesini açıklayabilir. Ancak son 28 günde commit ve farklı yazar sayısı sıfır; bu nedenle mevcut ivme veya bakım temposu doğrulanamıyor. Teknik raporun HuggingFace Daily Papers sıralaması README’de proje tarafından bildiriliyor.

Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine

Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.

从 MiniMind 源码读起,再延伸到现代大模型技术体系的中文学习笔记。主线逐行精读预训练 / SFT / DPO / PPO / GRPO 与训练机制;附录 17 篇进阶卷覆盖量化、投机解码、RLHF 全景、模型代际史等 MiniMind 没涉及、但进阶绕不开的主题。

The Best TypeScript framework for fine-tuning

211 free visual cards about large language models, from tokenization to deployment. Full collection: 376 cards.

The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ clo

Build your own offline AI from any documents. Free. No coding. LoRA fine-tuning + RAG + GGUF export.

Distill teacher chains-of-thought into a LoRA adapter via a strict boxed-answer format contract + two-phase Train→Nudge (silver-medal NVIDIA

🌹 Rose: Range-Of-Slice Equilibration PyTorch optimizer. Stateless optimization through range-normalized gradient updates.

Learn Agentic AI, Deep Learning, Agentic Engineering, RAG and Multi-Agent Workflows.

Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and

Self-hosted decision model (selfjev-4b) with a Jev-compatible API: Python SDK, server, fine-tuning and RLCD.

Best Open Source NLP LLM Fine-Tuning Trainer Framework 2026

ICML 2026 benchmark and MechVL models for multimodal understanding of mechanical engineering drawings.

Master LLM Fine-Tuning Trainer 2026: Advanced NLP Optimization Toolkit

🏆Winning Project | ModelGate is a contract-aware AI control plane that ingests customer contracts, extracts SLA/privacy/routing constraints,

Streamline AI Workloads on Kubernetes: Universal Python SDK Guide 2026

Open Source Instruction Tuning LLM Training Library 2026

🚀 Engram-PEFT: An unofficial implementation of DeepSeek Engram. Inject high-capacity conditional memory into LLMs via sparse retrieval PEFT

A zero-dependency Python module for inspecting and converting coding-agent session files (.jsonl) — Claude Code, Codex, and Pi — into the me

Run AI models on Apple Silicon and Raspberry Pi

One GPU. Full LLM workflow. Real benchmarks. No cloud required.

Turn documents into high-quality instruction datasets with grounding, quality filtering, deduplication, and provenance.

Train linear embedding adapters with triplet loss to align retrieval embeddings with your queries (RAG).

Fine-tune open-source models with Tinker from inside Pi — managed improve loops, data prep, evals, smoke tests, deploy snippets, and checkpo

Locally fine-tuned Russian RAG models: document splitter, query expansion, retrieval embedder. Teacher distillation → GGUF → llama.cpp on AM

A structured knowledge base for large language model technologies, covering LLMs, Agents, RAG, model training, evaluation methodologies, and

Writing that's kin to yours

面向小团队的一站式 NLP 小模型平台:数据集版本管理 · 训练 · 评估 · 在线部署 · Badcase 闭环,内置大模型 Prompt 盲测评测(人工 + AI 双指标)。

CPU-first, eager-execution tensor/autograd runtime and LLM inference engine written in pure Zig

一个开箱即用、用于二分类任务的大语言微调模型框架。An out-of-the-box LLM fine-tuning framework for medical binary classification.

Fine-tune Qwen2.5-Coder-7B for free (QLoRA on Kaggle T4) and run a local coding agent that runs your code instead of guessing — 8 GB Mac, ll

Scaling Host-Resident LLM Fine-Tuning Across Multiple GPUs

Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA,

Train JEV-style System 1 decision models on Qwen3.5 and Qwen3.8-27B: 24-slot decision head, KL distillation, calibration and serving. 在 Qwen

Making MoE fine-tuning accessible to anyone with consumer hardware.

Raise your own dragon: fine-tune a language model on your own documents, from R. Writes the training data, trains on your laptop, RAG built