Fine-tuning open-source large and small instruct/chat language models (LLMs & SLMs) from the Hugging Face Model Hub using public datasets.
-
Updated
Aug 31, 2024 - Jupyter Notebook
Fine-tuning open-source large and small instruct/chat language models (LLMs & SLMs) from the Hugging Face Model Hub using public datasets.
Build LLM-enabled FastAPI applications without build configuration.
Kurtis is a fine-tuning, inference and evaluation tool built for SLMs (Small Language Models), such as Huggingface's SmolLM2.
A fine-tuned version of SmolLM2-360M-Instruct-bnb-4bit specialized for parsing unstructured calendar event requests into structured JSON data.
Offline, on-device LLM browser for Android & iOS — React Native + llama.rn + SmolLM2 (Apache 2.0). 100% private: pages never leave your phone.
SmolLM-360M distilled with Tree-of-Thoughts reasoning from GPT-4o, achieving competitive arithmetic reasoning with minimal compute
A fun web app that generates clever, cringey, or romantic pickup lines using SmolLM-135M. Built with Next.js and TailwindCSS. Perfect for dating apps or breaking the ice!
Self-evaluation framework for LLM confidence calibration. Extracts True/False logits on TriviaQA; temperature scaling reduces ECE from 0.217→0.132 (Qwen-2.5-1.5B) without model modification.
⚙️ LoRA implementation for efficient SmolLM fine-tuning. Achieves comparable performance with only 0.24% trainable parameters.
Local speech-to-speech voice app for talking with cartoon characters
Single-command LoRA SFT recipes for small open LLMs with reproducible before/after eval. CPU + GPU configs. SmolLM2-135M + SST-2: 460k trainable params (0.34% of base), +2 abs points in 5 min on a single CPU core.
Supervised Finetuning on SmolLM model using the smalltalk dataset.
A 3B model that knows when it's unsure and spends compute only where it pays. Reproducible, on a laptop. Built on SmolLM3.
Add a description, image, and links to the smollm topic page so that developers can more easily learn about it.
To associate your repository with the smollm topic, visit your repo's landing page and select "manage topics."