Instructions to use tensorblock/Mathoctopus_Mistral_Parallel_7B-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 tensorblock/Mathoctopus_Mistral_Parallel_7B-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 tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K
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 tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama cli -hf tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K
Use Docker
docker model run hf.co/tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K
- Llama new
- LM Studio
- Jan
- Ollama
How to use tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF with Ollama:
ollama run hf.co/tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF with Docker Model Runner:
docker model run hf.co/tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K
- Lemonade
How to use tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF:Q2_K
Run and chat with the model
lemonade run user.Mathoctopus_Mistral_Parallel_7B-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
Download Mistral_Parallel_7B-Q2_K.gguf from tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 2.72 GB
-
https://huggingface.co/tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF/resolve/main/Mistral_Parallel_7B-Q2_K.gguf
- Command line
-
hf download hf://tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF/Mistral_Parallel_7B-Q2_K.gguf
-
curl -L -o Mistral_Parallel_7B-Q2_K.gguf https://huggingface.co/tensorblock/Mathoctopus_Mistral_Parallel_7B-GGUF/resolve/main/Mistral_Parallel_7B-Q2_K.gguf
2.72 GB
- Xet hash:
- 9649ab0fdab597a071dc2c08dc5a070c485e79097b8dd954c6fc1ae88aaef776
- Size of remote file:
- 2.72 GB
- SHA256:
- 1130a9db7df7753eedc6cfa5661425dacbb145bad75db1109f0ab6cfad6c753c
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