Havuz

Compile organizational policy into verifiable decision training data.

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,

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

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

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

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

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

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

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

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.

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

Local inference you can prove. A single-binary GGUF engine in C: serves, scores, and trains LoRA through the quantized weights it deploys, b

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

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

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,

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

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

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

The Best TypeScript framework for fine-tuning

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

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

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

Best Open Source NLP LLM Fine-Tuning Trainer Framework 2026

Best AI Workload Orchestrator for Kubernetes Python 2026

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

Run AI models on Apple Silicon and Raspberry Pi

Cairn runs your AI and ML pipelines behind budgets, policy, approvals and an audit trail.

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

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

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

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

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.

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