Instructions to use BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use BeaverAI/Fallen-Mistral-R1-24B-v1c-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 BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf BeaverAI/Fallen-Mistral-R1-24B-v1c-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 BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf BeaverAI/Fallen-Mistral-R1-24B-v1c-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 BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf BeaverAI/Fallen-Mistral-R1-24B-v1c-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 BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M
Use Docker
docker model run hf.co/BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF with Ollama:
ollama run hf.co/BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF with Docker Model Runner:
docker model run hf.co/BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M
- Lemonade
How to use BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull BeaverAI/Fallen-Mistral-R1-24B-v1c-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Fallen-Mistral-R1-24B-v1c-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Amazing!
This model is really good, super creative, and has a fun writing style. Probably the best Mistral 3.1 finetune I’ve tested so far, there are a few small coherence issues here and there, but overall it’s great, it really captures the essence of the characters from the lorebook and adds details in a way I’ve never seen before, that’s what I liked the most!
Thanks! This fell off my radar. Will look into it. Did you try the thinking capability or no?
I tested the thinking capability, but I couldn’t get good results from it. Not sure if I set something up wrong, but it keeps giving me responses where the thinking never really follows the story based on my actions and ends up doing both the narrator’s and the user’s actions. But outside of thinking, the model is wunderbar!