Instructions to use NeverSleep/MiquMaid-v3-70B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use NeverSleep/MiquMaid-v3-70B-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="NeverSleep/MiquMaid-v3-70B-GGUF", filename="MiquMaid-v3-70B.q4_0.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use NeverSleep/MiquMaid-v3-70B-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0 # Run inference directly in the terminal: llama-cli -hf NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0 # Run inference directly in the terminal: llama-cli -hf NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0
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 NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0
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 NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0
Use Docker
docker model run hf.co/NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0
- LM Studio
- Jan
- Ollama
How to use NeverSleep/MiquMaid-v3-70B-GGUF with Ollama:
ollama run hf.co/NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0
- Unsloth Studio
How to use NeverSleep/MiquMaid-v3-70B-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 NeverSleep/MiquMaid-v3-70B-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 NeverSleep/MiquMaid-v3-70B-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for NeverSleep/MiquMaid-v3-70B-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use NeverSleep/MiquMaid-v3-70B-GGUF with Docker Model Runner:
docker model run hf.co/NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0
- Lemonade
How to use NeverSleep/MiquMaid-v3-70B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NeverSleep/MiquMaid-v3-70B-GGUF:Q4_0
Run and chat with the model
lemonade run user.MiquMaid-v3-70B-GGUF-Q4_0
List all available models
lemonade list
MiquMaid v3
Check out our blogpost about this model series Here! - Join our Discord server Here!
This model uses the Alpaca prompting format
Model trained for RP conversation on Miqu-70B with our magic sauce. Then we made an enormous merge containing all out old iteration of Miqumaid, and some other RP Miqu based model, with the new Model Stock merging method.
Credits:
- Undi
- IkariDev
Description
This repo contains GGUF files of MiquMaid-v3-70B.
Training data used:
- Aesir datasets
- NoRobots
- limarp - 8k ctx
- toxic-dpo-v0.1-sharegpt
- ToxicQAFinal
- Luminae-i1 - Ikari's Dataset
- Squish42/bluemoon-fandom-1-1-rp-cleaned - 50% (randomly)
- NobodyExistsOnTheInternet/PIPPAsharegptv2test - 5% (randomly)
- cgato/SlimOrcaDedupCleaned - 5% (randomly)
Models used
- NeverSleep/MiquMaid-70B-v3-Base [Private finetune]
- NeverSleep/MiquMaid-v2-70B
- NeverSleep/MiquMaid-v1-70B
- migtissera/Tess-70B-v1.6
- crestf411/daybreak-miqu-1-70b-v1.0-hf
- sophosympatheia/Midnight-Miqu-70B-v1.0
Custom format:
### Instruction:
{system prompt}
### Input:
{input}
### Response:
{reply}
Mistral [INST][/INST] prompt format should work too.
Others
Undi: If you want to support us, you can here.
IkariDev: Visit my retro/neocities style website please kek
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