Transformers
PyTorch
Safetensors
GGUF
English
mistral
text-generation-inference
unsloth
trl
sft
conversational
Instructions to use theprint/Mistral-7b-Instruct-v0.2-python-18k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theprint/Mistral-7b-Instruct-v0.2-python-18k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("theprint/Mistral-7b-Instruct-v0.2-python-18k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use theprint/Mistral-7b-Instruct-v0.2-python-18k 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 theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0 # Run inference directly in the terminal: llama cli -hf theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0 # Run inference directly in the terminal: llama cli -hf theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0
Use Docker
docker model run hf.co/theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use theprint/Mistral-7b-Instruct-v0.2-python-18k with Ollama:
ollama run hf.co/theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use theprint/Mistral-7b-Instruct-v0.2-python-18k with Docker Model Runner:
docker model run hf.co/theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0
- Lemonade
How to use theprint/Mistral-7b-Instruct-v0.2-python-18k with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull theprint/Mistral-7b-Instruct-v0.2-python-18k:Q8_0
Run and chat with the model
lemonade run user.Mistral-7b-Instruct-v0.2-python-18k-Q8_0
List all available models
lemonade list
- Atomic Chat
Trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
adapter_config.json
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"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode":
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"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
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"bias": "none",
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adapter_model.safetensors
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