Instructions to use tsunemoto/Mistral-7B-Instruct-v0.2-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 tsunemoto/Mistral-7B-Instruct-v0.2-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 tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf tsunemoto/Mistral-7B-Instruct-v0.2-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 tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf tsunemoto/Mistral-7B-Instruct-v0.2-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 tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf tsunemoto/Mistral-7B-Instruct-v0.2-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 tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M
Use Docker
docker model run hf.co/tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use tsunemoto/Mistral-7B-Instruct-v0.2-GGUF with Ollama:
ollama run hf.co/tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use tsunemoto/Mistral-7B-Instruct-v0.2-GGUF with Docker Model Runner:
docker model run hf.co/tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M
- Lemonade
How to use tsunemoto/Mistral-7B-Instruct-v0.2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tsunemoto/Mistral-7B-Instruct-v0.2-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Mistral-7B-Instruct-v0.2-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +6 -7
- mistral-7b-instruct-v0.2.IQ1_S.gguf +3 -0
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language: en
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This is a GGUF quantization of Mistral-7B-Instruct-v0.2.
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## Original Model Card:
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license: apache-2.0
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# Model Card for Mistral-7B-Instruct-v0.2
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language: en
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# Tsunemoto GGUF's of Mistral-7B-Instruct-v0.2
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This is a GGUF quantization of Mistral-7B-Instruct-v0.2.
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## Original Repo Link:
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[Original Repository](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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## Original Model Card:
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oid sha256:4c2f753c5cca0be1f67162888abd1c9f602eeabbf0c53c17e448a8afcd0f93a8
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size 1612101824
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