Instructions to use miqudev/miqu-1-70b 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 miqudev/miqu-1-70b 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 miqudev/miqu-1-70b:Q4_K_M # Run inference directly in the terminal: llama cli -hf miqudev/miqu-1-70b:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf miqudev/miqu-1-70b:Q4_K_M # Run inference directly in the terminal: llama cli -hf miqudev/miqu-1-70b: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 miqudev/miqu-1-70b:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf miqudev/miqu-1-70b: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 miqudev/miqu-1-70b:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf miqudev/miqu-1-70b:Q4_K_M
Use Docker
docker model run hf.co/miqudev/miqu-1-70b:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use miqudev/miqu-1-70b with Ollama:
ollama run hf.co/miqudev/miqu-1-70b:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use miqudev/miqu-1-70b with Docker Model Runner:
docker model run hf.co/miqudev/miqu-1-70b:Q4_K_M
- Lemonade
How to use miqudev/miqu-1-70b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull miqudev/miqu-1-70b:Q4_K_M
Run and chat with the model
lemonade run user.miqu-1-70b-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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#20
by myzz - opened
README.md
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---
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# miqu 70b
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## Model card
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First model in the potential series.
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## Prompt format: Mistral
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DO NOT CHANGE ROPE SETTINGS. This model uses high freq base with 32k seen tokens, it should be fine for most tasks.
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Only tested with temp 1 and top_p 0.95 with everything else disabled.
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<video src="https://cdn-uploads.huggingface.co/production/uploads/65ab93082bf3e0cbbf717850/cIEP5e43VP0k0caRzl16e.mp4" controls="controls" style="max-width: 720px;">
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</video>
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# miqu 70b
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First model in the potential series.
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## Prompt format: Mistral
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DO NOT CHANGE ROPE SETTINGS. This model uses high freq base with 32k seen tokens, it should be fine for most tasks.
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Only tested with temp 1 and top_p 0.95 with everything else disabled.
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