Topics / #large-language-models
Large-language-models projects on GitHub
Spelled-out variant of the LLM topic: transformer-based models and their applications.
As of , the most-starred Large-language-models projects on GitHub are langflow (155.8K stars), LLMs-from-scratch (106.7K stars) and DeepSeek-V3 (104.5K stars). GitHub.Locker tracks 213 Large-language-models repositories with 3.8M stars combined. The fastest-growing on October 16 was Strata, with +718 stars in a day.
Hot right now
Most stars gained in a day · Oct 16
+718Strata
Niko1221/Strata · ★ 26.4KStrata runs Qwen3.8-Flash-Next, a 125-billion-parameter AI model, on a normal gaming PC with one NVIDIA GPU (12-24GB VRAM) and 64GB of RAM, with a one-click installer for Windows and Linux.
ai-engineering-from-scratch
rohitg00/ai-engineering-from-scratch · ★ 70.5KA free, open-source AI engineering curriculum with 523 lessons across 20 phases (about 342 hours), teaching you to build AI systems from raw math up to autonomous agent swarms, in Python, TypeScript, Rust, and Julia.
+159airllm
lyogavin/airllm · ★ 39.1KAn open-source Python library that runs huge LLMs on tiny GPUs: a 70B model fits on a single 4GB card without quantization, distillation or pruning — even the 2.8T-parameter Kimi K3 runs in under 4GB.
solo_jev
0814wdwd/solo_jev · ★ 622SOLO reorders the rows and fields of a dataset so an LLM decision backend with prefix caching can reuse computation across requests, running a natural-language decision over every row while returning results in the original row order.
The all-time top
Top 100 of 213 · by stars
- 155.8K
#1 · langflow-ai/langflow
langflow
Langflow is a platform for building and deploying AI-powered agents and workflows with a visual, drag-and-drop interface.
- 106.7K
#2 · rasbt/LLMs-from-scratchLLMs-from-scratch
This is the official code repository for the book 'Build a Large Language Model (From Scratch)', which teaches you to implement a GPT-like LLM in PyTorch step by step, from tokenization through pretraining and finetuning.
- 104.5K
#3 · deepseek-ai/DeepSeek-V3
DeepSeek-V3
DeepSeek-V3 is an open-weight Mixture-of-Experts (MoE) language model with 671B total parameters but only 37B activated per token, built for efficient yet high-performing inference and matching leading closed-source models on many benchmarks.
- 4
DeepSeek-R1
91.9Kdeepseek-ai/DeepSeek-R1DeepSeek-R1 is an open-source family of reasoning-focused large language models from DeepSeek, trained with large-scale reinforcement learning to handle math, code, and general reasoning at a level comparable to OpenAI's o1.
- 5

llm-course
83.7Kmlabonne/llm-courseA free, open-source course for getting into Large Language Models (LLMs), combining theory roadmaps with hands-on Colab notebooks covering everything from math fundamentals to fine-tuning and deployment.
- 6

LlamaFactory
75.5Khiyouga/LlamaFactory · PythonLlamaFactory unifies efficient fine-tuning of 100+ large language models and vision-language models in one Python toolkit, published as an ACL 2024 paper.
- 7

gpt_academic
71.5Kbinary-husky/gpt_academic · PythonGPT Academic is a Python web UI that gives practical interaction tools for GPT/GLM and other LLMs, specialized for reading, polishing and writing academic papers, with modular plugin functions for code analysis and PDF/LaTeX translation.
- 8

MetaGPT
70.9KFoundationAgents/MetaGPT · PythonMetaGPT is a multi-agent framework that simulates a software company: you give it a one-line requirement and it coordinates roles like product manager, architect, project manager, and engineer to output user stories, designs, data structures, APIs, and code.
- 9
ai-engineering-from-scratch
70.5Krohitg00/ai-engineering-from-scratch · PythonA free, open-source AI engineering curriculum with 523 lessons across 20 phases (about 342 hours), teaching you to build AI systems from raw math up to autonomous agent swarms, in Python, TypeScript, Rust, and Julia.
- 10

gpt4free
66.9Kxtekky/gpt4free · PythonGPT4Free (g4f) is a community-driven project that aggregates many free and reverse-engineered access points to commercial LLMs (GPT-4, Claude, Gemini, DeepSeek, etc.) and media-generation models, exposing them through one unified Python/JS client, web GUI, and OpenAI-compatible API.
- 11

nanoGPT
63.9Kkarpathy/nanoGPT · PythonnanoGPT is the simplest, fastest repository for training and finetuning medium-sized GPT language models, written as a minimal rewrite of minGPT.
- 12

minimind
63.9Kjingyaogong/minimind · PythonMiniMind is an open-source project that lets you train a tiny large language model (around 64M parameters) completely from scratch, in about 2 hours on a single RTX 3090 for roughly the cost of 3 RMB in GPU rental.
- 13

llama
59.6Kmeta-llama/llama · PythonThis is Meta's reference inference code for running Llama 2 language models (7B to 70B parameters) locally, letting you load pre-trained or chat fine-tuned weights and generate text completions.
- 14

dive-into-llms
56.8KLordog/dive-into-llms · Jupyter NotebookIt's a free Chinese-language tutorial series called 'Dive into LLMs' (《动手学大模型》) that teaches large language model concepts through hands-on coding exercises, built from Shanghai Jiao Tong University's NLP and AI-security course materials.
- 15

Flowise
55.5KFlowiseAI/Flowise · TypeScriptFlowise is a drag-and-drop visual builder for creating AI agents, chatbots, and LLM workflows (chains, RAG pipelines, multi-agent systems) without hand-coding every integration.
- 16

ai-agent-book
54.6Kbojieli/ai-agent-book · PythonAn open-source book by Li Bojie taking AI agents from design principles to engineering practice, built on the formula Agent = LLM + context + tools; text, figures and labs all live in this repo.
- 17

grok-1
52.2Kxai-org/grok-1 · PythonGrok-1 is the 314B-parameter Mixture-of-Experts language model that xAI opened up; this repository holds the JAX example code for loading and running it.
- 18

ray
44.1Kray-project/ray · PythonRay is an open-source framework for scaling AI and Python applications: a core distributed runtime plus a set of AI libraries that simplify ML compute.
- 19
DeepSpeed
43.2Kdeepspeedai/DeepSpeed · PythonDeepSpeed is a deep learning optimization library that makes distributed training and inference of very large models easy, efficient and effective — it powered models like MT-530B and BLOOM.
- 20

ColossalAI
41.4Khpcaitech/ColossalAI · PythonColossal-AI is an open-source system for training and running large AI models more cheaply, faster and with less hardware, by providing a toolbox of parallelism and memory-optimization techniques.
- 21

BitNet
41.2Kmicrosoft/BitNet · C++bitnet.cpp is Microsoft's official inference framework for 1-bit (ternary, 1.58-bit) large language models like BitNet b1.58, letting them run fast on CPUs and GPUs.
- 22

ChatGLM-6B
40.9Kzai-org/ChatGLM-6B · PythonChatGLM-6B is an open bilingual (Chinese-English) dialogue language model with 6.2 billion parameters, based on the General Language Model (GLM) architecture.
- 23

LightRAG
40.2KHKUDS/LightRAG · PythonLightRAG is an open-source, graph-based RAG framework (EMNLP 2025) by HKUDS. It indexes your documents into a knowledge graph plus vector embeddings so you can query them — a lighter, faster alternative to Microsoft GraphRAG.
- 24

FastChat
39.5Klm-sys/FastChat · PythonFastChat is an open platform for training, serving, and evaluating large language model based chatbots. It is the release repo for Vicuna and powers Chatbot Arena (lmarena.ai), which has served over 10 million chat requests for 70+ LLMs.
- 25

airllm
39.1Klyogavin/airllm · Jupyter NotebookAn open-source Python library that runs huge LLMs on tiny GPUs: a 70B model fits on a single 4GB card without quantization, distillation or pruning — even the 2.8T-parameter Kimi K3 runs in under 4GB.
- 26
langextract
39Kgoogle/langextract · PythonLangExtract is a Python library that uses LLMs to pull structured information out of unstructured text, mapping each extraction back to its exact location in the source document.
- 27

Langchain-Chatchat
38.7Kchatchat-space/Langchain-Chatchat · PythonLangchain-Chatchat is an open-source RAG and Agent application that lets you build a local-knowledge-base Q&A chatbot using LLMs like ChatGLM, Qwen or Llama through the LangChain framework.
- 28

prompt-eng-interactive-tutorial
38.6Kanthropics/prompt-eng-interactive-tutorial · Jupyter NotebookThis is Anthropic's official interactive tutorial for learning prompt engineering with Claude, teaching how to write effective prompts through lessons and hands-on exercises.
- 29

ai-engineering-hub
38.3Kpatchy631/ai-engineering-hub · Jupyter NotebookA curated collection of 93+ tutorials and real-world project implementations covering LLMs, RAG systems, and AI agents, organized by difficulty level.
- 30

LLM101n
37.5Kkarpathy/LLM101nLLM101n is a planned course by Andrej Karpathy that walks through building a 'Storyteller' AI language model end-to-end, from basics all the way to a ChatGPT-like web app, implemented from scratch in Python, C and CUDA.
- 31
langfuse
35.9Klangfuse/langfuse · TypeScriptLangfuse is an open source LLM engineering platform for tracing, evaluating, and debugging LLM and agent applications, with prompt management and a playground built in.
- 32

timesfm
34.6Kgoogle-research/timesfm · PythonTimesFM is a pretrained time-series foundation model from Google Research used for time-series forecasting, similar in spirit to a language model but for numerical sequences.
- 33
agentscope
33.4Kagentscope-ai/agentscope · PythonAgentScope 2.0 is a production-ready, easy-to-use Python framework for building and running LLM agents. It leans on the model's own reasoning and tool use instead of boxing it in with strict prompts and opinionated orchestration.
- 34

self-llm
32.5Kdatawhalechina/self-llm · Jupyter NotebookSelf-llm is a Chinese-language tutorial collection that teaches beginners how to configure environments, deploy, and fine-tune (full-parameter or LoRA) 50+ open-source large language models and multimodal models on Linux.
- 35

fairseq
32.2Kfacebookresearch/fairseq · PythonFairseq is Facebook AI Research's sequence modeling toolkit for training custom models for translation, summarization, language modeling and other text generation tasks, built on PyTorch.
- 36
storm
31.7Kstanford-oval/storm · PythonSTORM is an LLM-powered system that researches a topic on the Internet and writes a full-length Wikipedia-like report with citations. Co-STORM extends it with human-AI collaborative knowledge curation.
- 37

awesome-generative-ai-guide
29.8Kaishwaryanr/awesome-generative-ai-guide · HTMLA one-stop GitHub hub for generative AI learning: research updates, 90+ free courses, code notebooks, and interview prep materials, all organized around one question — what do you want to do with AI?
- 38

Hands-On-Large-Language-Models
29.7KHandsOnLLM/Hands-On-Large-Language-Models · Jupyter NotebookThe official code repo for the O'Reilly book 'Hands-On Large Language Models', known as the Illustrated LLM Book. It contains a Jupyter notebook for each of the book's 12 chapters.
- 39

llama3
29.2Kmeta-llama/llama3 · PythonMeta's official GitHub home for Llama 3: model weights plus minimal code for running inference on pre-trained and instruction-tuned models in 8B and 70B sizes. The repo is now deprecated.
- 40

Qwen3
27.7KQwenLM/Qwen3 · PythonQwen3 is a series of open-weight large language models built by the Qwen team at Alibaba Cloud, released as both dense and Mixture-of-Experts (MoE) models from 0.6B up to 235B-A22B parameters, with switchable 'thinking' and 'non-thinking' reasoning modes.
- 41

Awesome-LLM
27.4KHannibal046/Awesome-LLMA curated, continuously updated list of resources about Large Language Models (LLMs): milestone and other research papers, training/inference frameworks, open LLM checkpoints, benchmarks, courses, and books.
- 42

haystack
26.8Kdeepset-ai/haystack · PythonAn open-source AI orchestration framework for building production-ready LLM applications in Python: modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation.
- 43
12-factor-agents
26.7Khumanlayer/12-factor-agents · TypeScriptA written guide of 12 (plus a bonus 13th) engineering principles for building LLM-powered agent software reliable enough for production customers, distilled from the author's experience at HumanLayer and conversations with many SaaS founders.
- 44

open-r1
26.5Khuggingface/open-r1 · PythonOpen R1 is a fully open effort to reproduce the training pipeline behind DeepSeek-R1, providing scripts to run SFT and GRPO training, generate synthetic reasoning data, and evaluate the resulting reasoning models.
- 45

Strata
26.4KNiko1221/Strata · C++Strata runs Qwen3.8-Flash-Next, a 125-billion-parameter AI model, on a normal gaming PC with one NVIDIA GPU (12-24GB VRAM) and 64GB of RAM, with a one-click installer for Windows and Linux.
- 46

MiniGPT-4
25.6KVision-CAIR/MiniGPT-4 · PythonThis is the open-sourced research code for MiniGPT-4 and MiniGPT-v2, two vision-language models that use a large language model as the interface for understanding and chatting about images.
- 47
TDengine
25.2Ktaosdata/TDengine · CTDengine is an open-source, high-performance, cloud-native, AI-powered time-series database built for IoT, Connected Cars, and Industrial IoT workloads, handling TB-to-PB scale data from billions of sensors.
- 48

gpt-2
25Kopenai/gpt-2 · PythonThis is OpenAI's official code and release for GPT-2, the language model described in the paper 'Language Models are Unsupervised Multitask Learners'. It bundles the model code with scripts to generate text samples from the released GPT-2 checkpoints.
- 49
gallery
25Kgoogle-ai-edge/gallery · KotlinGoogle AI Edge Gallery is an app that lets you download and run open-source generative AI models, including the Gemma family, directly on your Android phone, iPhone, or Mac — fully offline.
- 50

minGPT
25Kkarpathy/minGPT · PythonminGPT is a minimal PyTorch re-implementation of OpenAI's GPT, covering both training and inference, written to be small and easy to read rather than production-optimized.
- 51

nn-zero-to-hero
24.8Kkarpathy/nn-zero-to-hero · Jupyter NotebookA course by Andrej Karpathy that teaches neural networks from the absolute basics, built around a series of YouTube lectures with accompanying Jupyter notebooks coded live in the videos.
- 52

pytudes
24.4Knorvig/pytudes · Jupyter NotebookPytudes is Peter Norvig's personal collection of short, deliberately difficult Python programs and Jupyter notebooks, each written to perfect one specific programming skill, in the spirit of a musical étude.
- 53

DeepSeek-Coder
24.3Kdeepseek-ai/DeepSeek-Coder · PythonDeepSeek Coder is a family of open-source code language models trained from scratch on 2 trillion tokens (87% code, 13% natural language in English and Chinese), built for code generation, completion, and infilling.
- 54

Paddle
24.1KPaddlePaddle/Paddle · C++PaddlePaddle is an open-source deep learning platform — China's first independently developed one, open-sourced since 2016 — spanning a core framework, model libraries, end-to-end dev kits and service platforms.
- 55

awesome-ai-engineering
22.4Kdipakkr/awesome-ai-engineeringA large curated list of AI engineering resources covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems, plus broader learning resources for students (programming languages, hackathons, cybersecurity, blockchain, and more).
- 56

Qwen
21.9KQwenLM/Qwen · PythonThe official repo of Qwen (通义千问, Tongyi Qianwen) — Alibaba Cloud's family of chat and pretrained large language models, released in sizes from 1.8B up to 72B parameters on Hugging Face and ModelScope.
- 57

FinGPT
21.4KAI4Finance-Foundation/FinGPT · Jupyter NotebookFinGPT is AI4Finance Foundation's open-source project for financial large language models: trained models are released on HuggingFace, with code for RAG, fine-tuning pipelines and benchmarks built around them.
- 58

machine-learning-for-trading
21.4Kstefan-jansen/machine-learning-for-trading · Jupyter NotebookThe code repository for Machine Learning for Trading, 3rd Edition by Stefan Jansen: an end-to-end workflow for building, testing, and deploying ML-driven trading strategies, from data sourcing to live execution.
- 59
awesome-free-chatgpt
21.3KLiLittleCat/awesome-free-chatgpt · PythonA continuously updated, community-maintained list of websites that let you use ChatGPT (and other chatbots like Claude, Gemini and DeepSeek) for free or cheaply, often without logging in.
- 60
gpt-oss
20.5Kopenai/gpt-oss · PythonThe gpt-oss series: two open-weight language models from OpenAI — gpt-oss-120b and gpt-oss-20b — built for powerful reasoning, agentic tasks, and versatile developer use cases. The repo itself adds reference implementations, tools, and example clients around the models.
- 61

Qwen3-VL
20.1KQwenLM/Qwen3-VL · Jupyter NotebookQwen3-VL is a family of multimodal vision-language models built by the Qwen team at Alibaba Cloud, combining strong text understanding with deep visual perception, reasoning, and agent capabilities.
- 62
olmocr
19.8Kallenai/olmocr · PythonolmOCR is a toolkit that converts PDFs, PNGs, and JPEGs into clean Markdown or plain text with natural reading order, preserving equations, tables, and handwriting - built primarily to produce training datasets for LLMs.
- 63
ktransformers
19.6Kkvcache-ai/ktransformers · PythonKTransformers is a research framework for efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing, letting huge MoE models run on hardware that doesn't have enough VRAM to hold them entirely on GPU.
- 64

devika
19.6Kstitionai/devika · PythonDevika is an open-source agentic AI software engineer that takes a high-level task description, plans and researches it, browses the web for information, and writes the code needed to complete it. It's built as an open alternative to Cognition AI's Devin.
- 65

ml-engineering
19.5Kstas00/ml-engineering · PythonAn open book on machine learning engineering: methodologies, tools and step-by-step instructions for training, fine-tuning and running inference on large language models and multi-modal (VLM) models, written by the engineer who led the BLOOM-176B training.
- 66
tiktoken
19.5Kopenai/tiktoken · Pythontiktoken is a fast byte pair encoding (BPE) tokenizer built for use with OpenAI's models, converting text into tokens and back again.
- 67

Chinese-LLaMA-Alpaca
18.9Kymcui/Chinese-LLaMA-Alpaca · PythonOpen-source Chinese LLaMA and Alpaca large language models. The base LLaMA was extended with a Chinese vocabulary and further pre-trained on Chinese data, and Alpaca versions were instruction-tuned on Chinese instructions; training and deployment scripts are open too.
- 68

mamba
18.9Kstate-spaces/mamba · PythonMamba is a state space model architecture for sequence modeling with linear-time scaling. It shows promising performance on information-dense data like language modeling, where earlier subquadratic models fell short of Transformers; this repo is its PyTorch implementation.
- 69

Foundations-of-LLMs
18.3KZJU-LLMs/Foundations-of-LLMsAn open-source textbook on the foundations of large language models, written by a team at Zhejiang University and freely available as a PDF.
- 70

Megatron-LM
18.2KNVIDIA/Megatron-LM · PythonNVIDIA's open-source toolkit for training large transformer (LLM) models at scale. It comes as Megatron-LM, a reference setup with ready training scripts, and Megatron Core, a composable library of GPU-optimized building blocks for training models across thousands of GPUs.
- 71

Awesome-Multimodal-Large-Language-Models
18.1KBradyFU/Awesome-Multimodal-Large-Language-ModelsA curated, continuously updated list of papers, models, datasets, and benchmarks tracking the latest advances in Multimodal Large Language Models (MLLMs) — models like GPT-4o, Gemini, and VITA that understand images, video, and audio alongside text.
- 72

camel
17.9Kcamel-ai/camel · PythonCAMEL is an open-source multi-agent framework for building, simulating and studying LLM-powered agents at scale, aimed at finding the 'scaling laws of agents'.
- 73

aie-book
17.9Kchiphuyen/aie-book · Jupyter NotebookThe companion repo for Chip Huyen's book 'AI Engineering' (2025) and a collection of resources for AI engineers: chapter summaries, study notes, prompt examples, case studies. It's a work in progress and keeps growing.
- 74
generative-ai
17.8KGoogleCloudPlatform/generative-ai · Jupyter NotebookA collection of notebooks, code samples and sample apps for building generative AI on Google Cloud with Gemini and its Agent Platform, the evolution of Vertex AI.
- 75

Qwen-Agent
17.2KQwenLM/Qwen-Agent · PythonQwen-Agent is a framework for building LLM applications on top of Qwen models, using their instruction following, tool use, planning and memory capabilities. It ships with example apps such as a Browser Assistant and Code Interpreter, and it is the backend that powers Qwen Chat.
- 76

Qwen3-Coder
16.8KQwenLM/Qwen3-Coder · PythonQwen3-Coder is the code-focused branch of the Qwen3 large language model family from the Qwen team — open-weight models built for coding and agentic tasks, available in several sizes.
- 77

leedl-tutorial
16.8Kdatawhalechina/leedl-tutorial · Jupyter NotebookA free Chinese-language deep learning tutorial (nicknamed the 'Apple Book') based on Prof. Li Hongyi's (Hung-yi Lee) 'Machine Learning' course, covering most major deep learning topics in detail.
- 78

codellama
16.2Kmeta-llama/codellama · PythonThis is Meta's official inference code for Code Llama, a family of large language models for code built on Llama 2. The repo itself is a minimal example for loading the models and running generation.
- 79
PentestGPT
16KGreyDGL/PentestGPT · PythonPentestGPT is an agentic framework that uses large language models to run automated penetration testing and solve CTF challenges, working through staged phases like recon, exploitation and reporting.
- 80

nano-vllm
15.9KGeeeekExplorer/nano-vllm · PythonNano-vLLM is a lightweight, from-scratch reimplementation of the vLLM inference engine for running large language models, built in roughly 1,200 lines of readable Python.
- 81

gpt-3
15.7Kopenai/gpt-3The official companion repo for the GPT-3 paper 'Language Models are Few-Shot Learners'. GPT-3 is an autoregressive language model with 175 billion parameters — 10x more than any previous non-sparse model — tested on few-shot learning across many NLP tasks.
- 82

StableLM
15.7KStability-AI/StableLM · Jupyter NotebookStableLM is Stability AI's family of open-source language models, including the StableLM-3B-4E1T model, StableLM-Alpha v1/v2 base and tuned models, and StableVicuna, an RLHF-tuned chatbot built on Vicuna-13B.
- 83

OpenMetadata
15.5Kopen-metadata/OpenMetadata · TypeScriptOpenMetadata is an open platform that unifies technical metadata, lineage, data quality, ownership and business glossaries into one knowledge graph so both humans and AI agents can discover, trust and reuse context about enterprise data.
- 84

ChatGLM2-6B
15.5Kzai-org/ChatGLM2-6B · PythonChatGLM2-6B is an open bilingual (Chinese-English) conversational language model with 6 billion parameters, the second generation of ChatGLM-6B from Zhipu AI (Z.ai).
- 85
ChuanhuChatGPT
15.3KGaiZhenbiao/ChuanhuChatGPT · PythonChuanhuChatGPT is a web-based GUI for ChatGPT and many other LLMs, adding extras like agents, file-based Q&A, local model deployment, web search, and GPT fine-tuning on top of a Gradio interface.
- 86

llm_interview_note
15.3Kwdndev/llm_interview_note · HTMLThis is a curated Chinese-language knowledge base of large language model (LLM) concepts and interview questions, aimed at algorithm/application engineers preparing for LLM-related job interviews.
- 87

llama3-from-scratch
15.2Knaklecha/llama3-from-scratch · Jupyter NotebookA Jupyter notebook that implements Llama3 entirely from scratch, building up every matrix multiplication by hand instead of calling pre-built transformer modules.
- 88

math
15Kopenai/math · LeanA public catalogue of 719 mathematical manuscripts grouped into 372 families, written by an internal OpenAI model during evaluations on open research problems. About 42% of top-line results already have Lean formalizations.
- 89

RD-Agent
15Kmicrosoft/RD-Agent · PythonR&D-Agent is a Microsoft multi-agent framework that automates data-driven R&D: one agent proposes new research ideas and another implements them, applied to quant trading, data mining, Kaggle competitions, paper reproduction, and LLM fine-tuning.
- 90

OpenMythos
14.9Kkyegomez/OpenMythos · PythonOpenMythos is an open-source, speculative PyTorch implementation that tries to reconstruct the internal architecture of Anthropic's Claude ('Mythos') purely from publicly available research papers, not from any leaked or official Anthropic code.
- 91

DeepLearningExamples
14.9KNVIDIA/DeepLearningExamples · Jupyter NotebookA collection of NVIDIA-maintained, state-of-the-art deep learning reference implementations across computer vision, NLP, recommenders, speech, and more, tuned for reproducible accuracy and performance on NVIDIA Tensor Core GPUs.
- 92

TensorRT-LLM
14.8KNVIDIA/TensorRT-LLM · PythonTensorRT LLM is NVIDIA's Python framework for defining large language models (and now visual generation models) and compiling them into highly optimized inference engines that run on NVIDIA GPUs, with specialized kernels and Python/C++ runtimes.
- 93

Llama-Chinese
14.8KLlamaChinese/Llama-Chinese · PythonLlama-Chinese is a Chinese-language community project built around Meta's Llama models (Llama2, Llama3, Llama4). It provides Chinese pretraining and fine-tuning, a custom Atom model series optimized for Chinese, and resources for training, deploying and using Llama in Chinese for free commercial use.
- 94

fauxpilot
14.7Kfauxpilot/fauxpilot · PythonFauxPilot is an open-source, self-hosted alternative to GitHub Copilot that runs SalesForce CodeGen models locally on your own NVIDIA GPU via Triton Inference Server with the FasterTransformer backend.
- 95

lm-evaluation-harness
14.2KEleutherAI/lm-evaluation-harness · PythonIt is a unified framework for few-shot evaluation of language models across a huge number of standard academic benchmarks.
- 96

llm-universe
14.2Kdatawhalechina/llm-universe · Jupyter NotebookThis is a beginner-focused tutorial course on building large language model (LLM) applications, built around a personal knowledge-base assistant project that walks you through calling LLM APIs, building a vector knowledge base, and assembling a RAG pipeline.
- 97

instructor
14K567-labs/instructor · PythonInstructor is a Python library that gets reliable structured JSON output from LLMs by defining Pydantic models instead of hand-writing JSON schemas and parsing logic.
- 98

LoRA
13.9Kmicrosoft/LoRA · PythonLoRA (loralib) is Microsoft's reference implementation of the paper 'LoRA: Low-Rank Adaptation of Large Language Models'. It lets you fine-tune large models like GPT-2, RoBERTa and DeBERTa by training small low-rank matrices instead of all the original weights.
- 99

litgpt
13.7KLightning-AI/litgpt · PythonLitGPT is a collection of 20+ high-performance large language models (Llama, Gemma, Phi, Qwen, Mistral, Falcon, TinyLlama and more) implemented from scratch, with ready-made recipes to pretrain, finetune, evaluate and deploy them at scale.
- 100

ChatGLM3
13.6Kzai-org/ChatGLM3 · PythonChatGLM3 is a series of open bilingual (Chinese-English) chat large language models released jointly by Zhipu AI and Tsinghua University's KEG Lab, including a 6B-parameter chat model, its base model, and 32K/128K long-context variants.
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