Sentence Similarity
GGUF
Q4_K_M
text-embeddings
feature-extraction
retrieval
semantic-search
rag
lm-studio
llama-cpp
Instructions to use zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF", filename="nemotron-3-embed-1b-q4_k_m.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-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 zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-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 zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-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 zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-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 zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF with Ollama:
ollama run hf.co/zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M
- Unsloth Studio
How to use zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF with Docker Model Runner:
docker model run hf.co/zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M
- Lemonade
How to use zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull zenmagnets/Nemotron-3-Embed-1B-Q4_K_M-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Nemotron-3-Embed-1B-Q4_K_M-GGUF-Q4_K_M
List all available models
lemonade list
| mistralai/Ministral-3-3B-Instruct-2512 is licensed under the Apache-2.0 License. | |
| - You must cause any modified files to carry prominent notices stating that You changed the files. | |
| - You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works. | |
| - If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. |