The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Tiny inference-only implementation of LLaMA

A little(lil) Language Model (LM). A tiny reproduction of LLaMA 3's model architecture.

A pair of tiny foundational models trained in Brazilian Portuguese.🦙🦙

A tiny, didactical implementation of LLAMA 3

Tiny Llama model trained to play chess

Train a tiny LLaMA model from scratch to repeat your words using Reinforcement Learning from Human Feedback (RLHF)

An accessible home server platform for AI software

https://github.com/jzhang38/TinyLlama using only PyTorch

This repository contains code and resources for fine-tuning a Tiny Llama base model for code generation tasks. The project aims to leverage advanced machine learning techniques to improve the performance of code generation models.

docker extension that installs and configures Ollama, llama.cpp, LlamaEdge, Open WebUI, a tiny open source LLM (tinyllama) on top of Rancher Desktop for local GenAI exploration & development.

This repository provides an HLS-based implementation of Tiny-LLAMA and Llama 2B. We have included detailed host files, configuration files, and the src directory, as well as a ready-to-run bitstream file. You can follow the README to run the C-level simulation , software emulation , hardware emulation , and the full hardware implementation.

A collection of markdown describing the various Tiny Llama Projects. Primary focus is currently on the ITX-Llama.

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This is an ongoing project where I'm building a small LLaMA-like LLM from scratch.

Tiny and fast llama 3.2 in MLX

Tinychat Userscript - 12 Color Themes | Minimize Youtube | Background Images | Rounded Cams | Close All Sections | Overall Minimal Layout

Web UI for for the tinyLlama-chat model

This is the Node.js web streaming implementation of TinyLlama using Transformers.js and an ONNX model with the EJS template engine

Cog wrapper for TinyLlama/TinyLlama-1.1B-Chat-v1.0

Playing around with different small-scale/sized LLMs, such as GPT-2, Phi models, SmolLM models, and tiny Llama models

finetune tiny llama

This project involves fine-tuning the TinyLlama model to optimize color generation. The fine-tuning process is crucial to adapt the core features of the TinyLlama model to the concept of color generation and achieve desired color outcomes.

Fine-tuning the Tiny Llama model to mimic my professor's writing style using the Llama Factory. The project involves data collection, preprocessing, preparation, fine-tuning, and evaluation.

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Medusa Inference Acceleration for Tiny Llama Models

Little gguf - a tiny, embeddable, fully functional direct quantized inference engine for llama/qwen models in standard gguf format; no dependencies

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An on-device local, off-the-grid, Natural Farming AI Agriculture Assistant, to democratize access to farming knowledge where it's needed the most.