Instructions to use mradermacher/nomic-embed-code-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/nomic-embed-code-i1-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mradermacher/nomic-embed-code-i1-GGUF")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/nomic-embed-code-i1-GGUF", device_map="auto") - sentence-transformers
How to use mradermacher/nomic-embed-code-i1-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mradermacher/nomic-embed-code-i1-GGUF") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/nomic-embed-code-i1-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf mradermacher/nomic-embed-code-i1-GGUF:Q4_K_M --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf mradermacher/nomic-embed-code-i1-GGUF:Q4_K_M --embeddings
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 embeddings server: ./build/bin/llama serve -hf mradermacher/nomic-embed-code-i1-GGUF:Q4_K_M --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use mradermacher/nomic-embed-code-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/nomic-embed-code-i1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/nomic-embed-code-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/nomic-embed-code-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/nomic-embed-code-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/nomic-embed-code-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.nomic-embed-code-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download imatrix.dat from mradermacher/nomic-embed-code-i1-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 4.54 MB
-
https://huggingface.co/mradermacher/nomic-embed-code-i1-GGUF/resolve/main/imatrix.dat
- Command line
-
hf download hf://mradermacher/nomic-embed-code-i1-GGUF/imatrix.dat
-
curl -L -o imatrix.dat https://huggingface.co/mradermacher/nomic-embed-code-i1-GGUF/resolve/main/imatrix.dat
4.54 MB
- Xet hash:
- 0ab5f7d3756762d25a30d05c765d48cb4467971729867951d8adb4c23e24f5fc
- Size of remote file:
- 4.54 MB
- SHA256:
- d0a7fc8c1d8db5d167b83a97ff0f66916655e9e218d3068e9377b51b01f5bddf
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