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

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

Standardized spec and vendor-specific transforms for ChatML

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.

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.

Upload data to PostHog-LLM

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.

Upload data to PostHog-LLM

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

Deepseek-Dataset-Generator creates conversational datasets for LLM fine-tuning via DeepSeek API. Supports various formats (ChatML, ShareGPT, Alpaca, JSON, CSV), easy configuration via YAML and detailed logs. Ideal for generating realistic and customized data quickly.

SmolLM2 🤗: Family of lightweight language models, performs diverse tasks on-device

Qwen2.5-Coder: Family of LLMs excels in code, debugging, etc

Week 5 project: build a hybrid retriever that fuses FAISS dense vectors with SQLite FTS5/BM25 keyword search (RRF/weighted fusion), plus a Supervised Fine-Tuning (SFT) pipeline (Full FT vs LoRA/QLoRA) using TRL/PEFT/DeepSpeed.

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