chatml

My LLM Templates (Ollama Modelfiles & Tabby Templates + Presets)

Chat data cleaning, filtering and deduplication pipeline.

Dolphin 3.0 🐬: Versatile AI for coding, math, and more

No-code desktop app for generating high-quality synthetic datasets to fine-tune LLMs — plan-then-execute pipeline, LLM-as-judge, HuggingFace upload.

A versioned, extensible dataset compiler. Transforms a rich, human-editable dataset into multiple machine-readable for LLM training.

A dataset toolbox for preparing and analyzing conversational datasets, including CSV splitting, CSV → Parquet conversion, dataset statistics, Parquet cleaning and sorting, HuggingFace–style metadata generation, and batched chain insertion into PostgreSQL — with Rich progress, multiprocessing, and 32 GB-RAM-friendly batching.

About working Propmting in OpenAI models, it is also used with deffrent pettren Alpaca prompt, INST prompt

LLM Scribe is a toolkit for creating handwritten datasets quickly and easily for LLM fine-tuning. Automatically outputs into multiple common finetuning formats such as chatml, alpaca, and more.

Local-first desktop application for converting documents into AI training datasets. Generate instruction, conversation, and fine-tuning datasets from PDFs, DOCX, Markdown, HTML, and text using Ollama or cloud LLMs.

A Python-based interactive CLI interface for chatting with Hugging Face language models, optimized for casual, Discord-style conversation using ChatML. Supports both quantized and full-precision models, live token streaming with color formatting, and dynamic generation parameter adjustment.

Standardized spec and vendor-specific transforms for ChatML

The Anti-Hallucination data layer for B2B Sourcing. Deep-verified global supply chain entities designed for RAG and LLM instruction tuning.

Upload data to PostHog-LLM

Magibu AI Architecture - Custom Jinja2 Chat Template & Tool-Calling Prayer Times Assistant

Upload data to PostHog-LLM

Detect and neutralize LLM chat-template special tokens (ChatML, Llama, Mistral, Gemma, Qwen, DeepSeek, Command-R) in untrusted text — zero-dependency CLI + library and CI gate against Special Token Injection.

A flexible TypeScript framework for ingesting, processing, and exporting chat/conversation data for LLM training and analysis.

CLI to convert, validate and preview instruction datasets between Alpaca and ChatML formats.

Fine-tuned small language models (Qwen3-0.6B, Gemma3-1B) to detect prompt injection attacks using reasoning-augmented supervised fine-tuning with ChatML templates. Achieves 95-99% accuracy on adversarial prompts including goal hijacking, DAN jailbreaks, and obfuscation attacks.

Paste your function, hit convert, and get a clean summary ready for use in LLM-based systems.