Instructions to use mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/Proactive-Interactive-R1-Math-7B-Max-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 mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M
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 mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M
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 mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF with Ollama:
ollama run hf.co/mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Proactive-Interactive-R1-Math-7B-Max-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download Proactive-Interactive-R1-Math-7B-Max.Q2_K.gguf from mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 3.02 GB
-
https://huggingface.co/mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF/resolve/dea35935703c141d47a7329c3dc04063d4bbd41d/Proactive-Interactive-R1-Math-7B-Max.Q2_K.gguf
- Command line
-
hf download hf://mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF@dea35935703c141d47a7329c3dc04063d4bbd41d/Proactive-Interactive-R1-Math-7B-Max.Q2_K.gguf
-
curl -L -o Proactive-Interactive-R1-Math-7B-Max.Q2_K.gguf https://huggingface.co/mradermacher/Proactive-Interactive-R1-Math-7B-Max-GGUF/resolve/dea35935703c141d47a7329c3dc04063d4bbd41d/Proactive-Interactive-R1-Math-7B-Max.Q2_K.gguf
3.02 GB
- Xet hash:
- 0c9d1660eaaa0463d2ff6f8b6155fa42b250a4cd0845baa53d27db1552d76a69
- Size of remote file:
- 3.02 GB
- SHA256:
- 4e0422df94a67262ba260249781ac439790b24b44853d693081e5c6b0a0591d3
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