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
File size: 3,291 Bytes
a24fe28 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | ---
license: cc-by-nc-4.0
license_link: LICENSE
tags:
- not-for-all-audiences
---
The [BeaverAI](https://huggingface.co/BeaverAI) team proudly presents...
# Moist Miqu 70B v1 💦
*Seventy billion paramaters of sheer moist.*

*An extra-large eRP model that will hose you down with a rich and refreshing vocabulary of moist. Finetuned by yours truly.*
(Moist Miqu is a finetune of the legendary [Midnight Miqu v1.5](https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.5) model)
## Links
Original: https://huggingface.co/TheDrummer/Moist-Miqu-70B-v1
## Note
We also plan on releasing a less moist Miqu. Stay tuned!
## Usage
- Use Alpaca Instruct
- You can use instruct...
- as a character: "Go here"
- as a narrator: "Go here", Drummer says
- as a director: Drummer tells him to go here
- as a lazy ass: go here
- Moist Miqu is optimized for the Novel / Story format.
- At the start of the story, keep regenerating or continuing generation until you get the desired length. AI responses will eventually match the length.
- Same goes for Roleplay format... and format your messages how you want the AI to respond.
Thank you to the anon who created my model banner.
The other entries (thank you all other anons!) (TW: Mikus):
















SIAYN-v7 |