Gpt Oss 120b Alternatives

openai/gpt-oss-20b is an open-source large language model designed for advanced text generation and understanding tasks. It supports instruction following and multilingual capabilities, making it suitable for developers and researchers building AI-powered applications.

This is a GGUF-quantized format of the 120-billion parameter GPT-OSS model, optimized by Unsloth for efficient local execution. It enables users to run this large open-weight model on standard hardware using tools like llama.cpp or Ollama.

This is a 20 billion parameter open-source large language model provided by Unsloth in BF16 format. It includes a custom chat template supporting tool use and reasoning control. The model is designed for local inference and can be used with popular LLM frameworks. It is hosted on Hugging Face for easy download and integration.

This repository contains GGUF quantized weights for the GPT-OSS-20B model, making it compatible with LM Studio, llama.cpp, and other GGUF runtimes. It allows users to run a fully open-source 20-billion-parameter language model on local hardware with manageable memory usage. The model is intended for developers and researchers exploring open large language models.

This is a GGUF quantized variant of the 20B parameter gpt-oss model hosted on Hugging Face. It enables efficient local inference using tools like llama.cpp or Ollama. The model is designed for developers who want to run capable open-weight LLMs on standard hardware with reduced memory requirements.

This repository contains OpenAI's 20B parameter safeguard model designed to evaluate and classify text for safety, toxicity, and policy violations. It serves as a guardrail for LLM applications. The model weights are openly available on Hugging Face for integration into developer pipelines.