How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
# Run inference directly in the terminal:
llama cli -hf TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
# Run inference directly in the terminal:
llama cli -hf TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
Use Docker
docker model run hf.co/TeichAI/gpt-oss-20b-gpt-5-codex-distill-GGUF:
Quick Links

IMPORTANT

This model is still in developement.

For the most reliable performance use the following sampling parameters:

  • temperature: 1
  • top_k: 40
  • min_p: 0.00
  • top_p: 1.00
  • repeat_penalty: 1.0 (off)

Uploaded finetuned model

  • Developed by: TeichAI
  • License: apache-2.0
  • Finetuned from model : unsloth/gpt-oss-20b-unsloth-bnb-4bit

This gpt_oss model was trained 2x faster with Unsloth and Huggingface's TRL library.

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Model size
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Architecture
gpt-oss
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