Instructions to use Valeciela/gpt-oss-120b-BF16-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Valeciela/gpt-oss-120b-BF16-GGUF with 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 Valeciela/gpt-oss-120b-BF16-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Valeciela/gpt-oss-120b-BF16-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Valeciela/gpt-oss-120b-BF16-GGUF:BF16
# Run inference directly in the terminal:
./build/bin/llama cli -hf Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Use Docker

docker model run hf.co/Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Llama new
LM Studio
Jan
Ollama
How to use Valeciela/gpt-oss-120b-BF16-GGUF with Ollama:
```
ollama run hf.co/Valeciela/gpt-oss-120b-BF16-GGUF:BF16
```
Unsloth Desktop

How to use Valeciela/gpt-oss-120b-BF16-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Valeciela/gpt-oss-120b-BF16-GGUF:BF16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Valeciela/gpt-oss-120b-BF16-GGUF with Docker Model Runner:
```
docker model run hf.co/Valeciela/gpt-oss-120b-BF16-GGUF:BF16
```

Lemonade

How to use Valeciela/gpt-oss-120b-BF16-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Run and chat with the model

lemonade run user.gpt-oss-120b-BF16-GGUF-BF16

List all available models

lemonade list

Hermes Agent

How to use Valeciela/gpt-oss-120b-BF16-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Valeciela/gpt-oss-120b-BF16-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Valeciela/gpt-oss-120b-BF16-GGUF:BF16

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Valeciela/gpt-oss-120b-BF16-GGUF:BF16" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

GPT-OSS-120B

GGUF conversion of unsloth/gpt-oss-120b

Unsloth configs were selected over openai's in order to incorporate their chat template fixes.

This is essentially like unsloth's F16 quant except the F16 weights are in BF16 instead, which is their native precision.

File
gpt-oss-120b-BF16-00001-of-00002.gguf
gpt-oss-120b-BF16-00002-of-00002.gguf

Downloads last month: 44

GGUF

Model size

117B params

Architecture

gpt-oss

Hardware compatibility

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Valeciela/gpt-oss-120b-BF16-GGUF

Base model

openai/gpt-oss-120b

Quantized

(134)

this model