Instructions to use BeaverLegacy/Moist-Miqu-70B-v1-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 BeaverLegacy/Moist-Miqu-70B-v1-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 BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf BeaverLegacy/Moist-Miqu-70B-v1-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 BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf BeaverLegacy/Moist-Miqu-70B-v1-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 BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf BeaverLegacy/Moist-Miqu-70B-v1-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 BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use BeaverLegacy/Moist-Miqu-70B-v1-GGUF with Ollama:
ollama run hf.co/BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M
- Unsloth Studio
How to use BeaverLegacy/Moist-Miqu-70B-v1-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for BeaverLegacy/Moist-Miqu-70B-v1-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for BeaverLegacy/Moist-Miqu-70B-v1-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for BeaverLegacy/Moist-Miqu-70B-v1-GGUF to start chatting
- Docker Model Runner
How to use BeaverLegacy/Moist-Miqu-70B-v1-GGUF with Docker Model Runner:
docker model run hf.co/BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M
- Lemonade
How to use BeaverLegacy/Moist-Miqu-70B-v1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull BeaverLegacy/Moist-Miqu-70B-v1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Moist-Miqu-70B-v1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Create README.md
Browse files
README.md
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---
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license: cc-by-nc-4.0
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license_link: LICENSE
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tags:
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- not-for-all-audiences
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---
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The [BeaverAI](https://huggingface.co/BeaverAI) team proudly presents...
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# Moist Miqu 70B v1 💦
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*Seventy billion paramaters of sheer moist.*
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*An extra-large eRP model that will hose you down with a rich and refreshing vocabulary of moist. Finetuned by yours truly.*
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(Moist Miqu is a finetune of the legendary [Midnight Miqu v1.5](https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.5) model)
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## Links
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Original: https://huggingface.co/TheDrummer/Moist-Miqu-70B-v1
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## Note
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We also plan on releasing a less moist Miqu. Stay tuned!
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## Usage
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- Use Alpaca Instruct
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- You can use instruct...
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- as a character: "Go here"
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- as a narrator: "Go here", Drummer says
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- as a director: Drummer tells him to go here
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- as a lazy ass: go here
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- Moist Miqu is optimized for the Novel / Story format.
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- At the start of the story, keep regenerating or continuing generation until you get the desired length. AI responses will eventually match the length.
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- Same goes for Roleplay format... and format your messages how you want the AI to respond.
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Thank you to the anon who created my model banner.
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The other entries (thank you all other anons!) (TW: Mikus):
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SIAYN-v7
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