Topics / #gpt-oss
GPT oss projects on GitHub
Openly available GPT-style models runnable on local hardware.
As of , the most-starred GPT oss projects on GitHub are ollama (183.5K stars), vllm (94K stars) and sglang (37.2K stars). GitHub.Locker tracks 10 GPT oss repositories with 400.9K stars combined. The fastest-growing on October 16 was ollama, with +169 stars in a day.
Hot right now
Most stars gained in a day · Oct 16
+169ollama
ollama/ollama · ★ 183.5KOllama is a tool for downloading and running open large language models like DeepSeek, Qwen, Gemma, Llama, Mistral and gpt-oss on your own machine, with a simple CLI and a local REST API.
+102tokenspeed
lightseekorg/tokenspeed · ★ 2.7KTokenSpeed is a speed-of-light LLM inference engine designed for agentic workloads, with TensorRT-LLM-level performance and vLLM-level usability. The goal is to be the most performant inference engine for production agentic workloads.
+73vllm
vllm-project/vllm · ★ 94KvLLM is a library for fast LLM inference and serving, built around PagedAttention for efficient memory management of attention keys and values.
+38sglang
sgl-project/sglang · ★ 37.2KSGLang is a high-performance serving framework for large language models and multimodal models, built to deliver low-latency, high-throughput inference from a single GPU up to large distributed clusters.
The all-time top
10 projects · by stars
- 183.5K
#1 · ollama/ollamaollama
Ollama is a tool for downloading and running open large language models like DeepSeek, Qwen, Gemma, Llama, Mistral and gpt-oss on your own machine, with a simple CLI and a local REST API.
- 94K
#2 · vllm-project/vllmvllm
vLLM is a library for fast LLM inference and serving, built around PagedAttention for efficient memory management of attention keys and values.
- 37.2K
#3 · sgl-project/sglangsglang
SGLang is a high-performance serving framework for large language models and multimodal models, built to deliver low-latency, high-throughput inference from a single GPU up to large distributed clusters.
- 4

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.
- 5
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.
- 6

LEANN
13KStarTrail-org/LEANN · PythonLEANN is a vector database that lets you run retrieval-augmented generation (RAG) over millions of personal documents on your own laptop using 97% less storage than traditional vector databases, with no accuracy loss.
- 7

ollama-python
10.6Kollama/ollama-python · PythonThis is the official Python library for Ollama, giving Python 3.8+ projects an easy way to call a local or cloud Ollama server to run large language models.
- 8

dflash
6.2Kz-lab/dflash · PythonDFlash is a lightweight block diffusion model built for speculative decoding, drafting tokens in parallel blocks so a larger target LLM can verify them faster than generating one token at a time.
- 9

tokenspeed
2.7Klightseekorg/tokenspeed · PythonTokenSpeed is a speed-of-light LLM inference engine designed for agentic workloads, with TensorRT-LLM-level performance and vLLM-level usability. The goal is to be the most performant inference engine for production agentic workloads.
- 10
Offensive-Security-AI-Models
691JoasASantos/Offensive-Security-AI-ModelsA curated list of open-weight, uncensored language models fine-tuned for offensive-security tasks like penetration testing, red teaming, and security research. The README documents over 20 models sourced from HuggingFace model cards as of September 2026.
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