Instructions to use Undi95/Miqu-70B-Alpaca-DPO-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 Undi95/Miqu-70B-Alpaca-DPO-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 Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Undi95/Miqu-70B-Alpaca-DPO-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 Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Undi95/Miqu-70B-Alpaca-DPO-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 Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Undi95/Miqu-70B-Alpaca-DPO-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 Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Undi95/Miqu-70B-Alpaca-DPO-GGUF with Ollama:
ollama run hf.co/Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M
- Unsloth Studio
How to use Undi95/Miqu-70B-Alpaca-DPO-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 Undi95/Miqu-70B-Alpaca-DPO-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 Undi95/Miqu-70B-Alpaca-DPO-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Undi95/Miqu-70B-Alpaca-DPO-GGUF to start chatting
- Docker Model Runner
How to use Undi95/Miqu-70B-Alpaca-DPO-GGUF with Docker Model Runner:
docker model run hf.co/Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M
- Lemonade
How to use Undi95/Miqu-70B-Alpaca-DPO-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Undi95/Miqu-70B-Alpaca-DPO-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Miqu-70B-Alpaca-DPO-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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Check out the documentation for more information.
Miqu DPO
Miqu DPO is the same model than Miqu, with a DPO trained on MiquMaid v2 on Alpaca format, it was done for the purpose to try to uncensor further Miqu and make Alpaca prompt more usable with base Miqu. Also, this will be one of the base for MiquMaid-v2-2x70B-DPO.
Miqu base is REALLY censored outside RP, this LoRA let him reply a little more thing, but that's it. To have his full potential, it need to be in a merge/MoE of MiquMaid, since the loRA was based for MiquMaid, not Miqu base. I still let it public for who want it.
It uncensor a little the model, but keep some warning. Sometime reply really unethically.
Description
This repo contains GGUF files of Miqu-70B-DPO.
Dataset used
- NobodyExistsOnTheInternet/ToxicDPOqa
- Undi95/toxic-dpo-v0.1-NoWarning
Prompt format: Alpaca
### Instruction:
{prompt}
### Input:
{input}
### Response:
{output}
Or simple Mistral format (but the uncensoring was done on Alpaca, so Alpaca is recommanded).
Others
If you want to support me, you can here.
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