Lists (1)
Stars
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Reference PyTorch implementation and models for DINOv3
Hierarchical Reasoning Model Official Release
KV Cache Steering for Inducing Reasoning in Small Language Models
Supercharge Your LLM with the Fastest KV Cache Layer
(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
code for training & evaluating Contextual Document Embedding models
Faster, smaller BERT models in just a few lines.
The simplest, fastest repository for training/finetuning small-sized VLMs.
Minimalistic 4D-parallelism distributed training framework for education purpose
Kortix – build, manage and train AI Agents. Fully Open Source.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
A collection of LogitsProcessors to customize and enhance LLM behavior for specific tasks.
Deep research agent to help you find the best GitHub repositories 🕵️!
Code and weights for the paper "Cluster and Predict Latents Patches for Improved Masked Image Modeling"
Package for calling different models with same interface
Fully open reproduction of DeepSeek-R1
Minimal reproduction of DeepSeek R1-Zero
Official repository for our work on micro-budget training of large-scale diffusion models.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
Curated list of datasets and tools for post-training.
🤗 smolagents: a barebones library for agents that think in code.
Large Language Model Text Generation Inference
The code for the paper ROUTERBENCH: A Benchmark for Multi-LLM Routing System
Recipes to scale inference-time compute of open models
Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
Entropy Based Sampling and Parallel CoT Decoding