Code and documentation to train Stanford's Alpaca models, and generate the data.
- deep-learning
- instruction-following
- language-model
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Code and documentation to train Stanford's Alpaca models, and generate the data.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Universal LLM Deployment Engine with ML Compilation
TranslatedThe official repo of Qwen chat & pretrained large language model proposed by Alibaba Cloud.
Ongoing research training transformer models at scale
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
An open source implementation of CLIP.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Hierarchical Reasoning Model Official Release
An open-source, tool-augmented conversational language model from Fudan University
A PyTorch-based Speech Toolkit
Translated[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. An open-source multimodal dialogue model with performance close to GPT-4o
Open-source offline translation library written in Python
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
[CVPR 2025] Video Narration as Vocabulary & Video as Long Document
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.