Instructions to use lmstudio-community/nomic-embed-code-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lmstudio-community/nomic-embed-code-GGUF with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("lmstudio-community/nomic-embed-code-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 lmstudio-community/nomic-embed-code-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 lmstudio-community/nomic-embed-code-GGUF:Q4_K_M --embeddings

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible embeddings server:
llama serve -hf lmstudio-community/nomic-embed-code-GGUF:Q4_K_M --embeddings

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible embeddings server:
./llama-server -hf lmstudio-community/nomic-embed-code-GGUF:Q4_K_M --embeddings

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 embeddings server:
./build/bin/llama-server -hf lmstudio-community/nomic-embed-code-GGUF:Q4_K_M --embeddings

Llama new
LM Studio
Jan

vLLM

How to use lmstudio-community/nomic-embed-code-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lmstudio-community/nomic-embed-code-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lmstudio-community/nomic-embed-code-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/lmstudio-community/nomic-embed-code-GGUF:Q4_K_M

Ollama
How to use lmstudio-community/nomic-embed-code-GGUF with Ollama:
```
ollama run hf.co/lmstudio-community/nomic-embed-code-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use lmstudio-community/nomic-embed-code-GGUF with Docker Model Runner:
```
docker model run hf.co/lmstudio-community/nomic-embed-code-GGUF:Q4_K_M
```

Lemonade

How to use lmstudio-community/nomic-embed-code-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lmstudio-community/nomic-embed-code-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.nomic-embed-code-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

bartowski commited on May 7, 2025

Commit

5812b02

verified ·

1 Parent(s): 5a4bd72

Upload nomic-embed-code-Q6_K.gguf with huggingface_hub

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