Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SanctumAI/Mistral-Nemo-Instruct-2407-GGUF:# Run inference directly in the terminal:
llama cli -hf SanctumAI/Mistral-Nemo-Instruct-2407-GGUF: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 SanctumAI/Mistral-Nemo-Instruct-2407-GGUF:# Run inference directly in the terminal:
./llama-cli -hf SanctumAI/Mistral-Nemo-Instruct-2407-GGUF: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 SanctumAI/Mistral-Nemo-Instruct-2407-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf SanctumAI/Mistral-Nemo-Instruct-2407-GGUF:Use Docker
docker model run hf.co/SanctumAI/Mistral-Nemo-Instruct-2407-GGUF:
This model was quantized by SanctumAI. To leave feedback, join our community in Discord.
Mistral Nemo Instruct 2407 GGUF
Model creator: mistralai
Original model: Mistral-Nemo-Instruct-2407
Model Summary:
The Mistral-Nemo-Instruct-2407 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-Nemo-Base-2407. Trained jointly by Mistral AI and NVIDIA, it significantly outperforms existing models smaller or similar in size.
For more details about this model please refer to our release blog post.
Prompt Template:
If you're using Sanctum app, simply use Mistral model preset.
Prompt template:
[INST]{prompt} [/INST]
Hardware Requirements Estimate
Disclaimer
Sanctum is not the creator, originator, or owner of any Model featured in the Models section of the Sanctum application. Each Model is created and provided by third parties. Sanctum does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Model listed there. You understand that supported Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Model is the sole responsibility of the person or entity who originated such Model. Sanctum may not monitor or control the Models supported and cannot, and does not, take responsibility for any such Model. Sanctum disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Models. Sanctum further disclaims any warranty that the Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Models, your downloading of any Model, or use of any other Model provided by or through Sanctum.
- Downloads last month
- 279
2-bit
3-bit
4-bit
5-bit
6-bit
8-bit
16-bit
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf SanctumAI/Mistral-Nemo-Instruct-2407-GGUF:# Run inference directly in the terminal: llama cli -hf SanctumAI/Mistral-Nemo-Instruct-2407-GGUF: