Instructions to use olegshulyakov/nomic-embed-text-v2-moe-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use olegshulyakov/nomic-embed-text-v2-moe-GGUF with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("olegshulyakov/nomic-embed-text-v2-moe-GGUF")

sentences = [
    "That is a happy person",
    "That is a happy dog",
    "That is a very happy person",
    "Today is a sunny day"
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]

llama-cpp-python

How to use olegshulyakov/nomic-embed-text-v2-moe-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="olegshulyakov/nomic-embed-text-v2-moe-GGUF",
	filename="nomic-embed-text-v2-moe-Q4_0.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 olegshulyakov/nomic-embed-text-v2-moe-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0
# Run inference directly in the terminal:
llama-cli -hf olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0
# Run inference directly in the terminal:
llama-cli -hf olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0

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 olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0

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 olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0

Use Docker

docker model run hf.co/olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0

LM Studio
Jan
Ollama
How to use olegshulyakov/nomic-embed-text-v2-moe-GGUF with Ollama:
```
ollama run hf.co/olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0
```

Unsloth Studio

How to use olegshulyakov/nomic-embed-text-v2-moe-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 olegshulyakov/nomic-embed-text-v2-moe-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 olegshulyakov/nomic-embed-text-v2-moe-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for olegshulyakov/nomic-embed-text-v2-moe-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use olegshulyakov/nomic-embed-text-v2-moe-GGUF with Docker Model Runner:
```
docker model run hf.co/olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0
```

Lemonade

How to use olegshulyakov/nomic-embed-text-v2-moe-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0

Run and chat with the model

lemonade run user.nomic-embed-text-v2-moe-GGUF-Q4_0

List all available models

lemonade list

nomic-embed-text-v2-moe

Model creator: nomic-ai
Original model: nomic-ai/nomic-embed-text-v2-moe
GGUF quantization: provided by olegshulyakov using llama.cpp

Special thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

Use with Ollama

ollama run "hf.co/olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0"

Use with LM Studio

lms load "olegshulyakov/nomic-embed-text-v2-moe-GGUF"

Use with llama.cpp CLI

llama-cli --hf "olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0" -p "The meaning to life and the universe is"

Use with llama.cpp Server:

llama-server --hf "olegshulyakov/nomic-embed-text-v2-moe-GGUF:Q4_0" -c 4096

Downloads last month: 103

GGUF

Model size

0.5B params

Architecture

nomic-bert-moe

Hardware compatibility

4-bit

Model tree for olegshulyakov/nomic-embed-text-v2-moe-GGUF

Base model

FacebookAI/xlm-roberta-base

Finetuned

nomic-ai/nomic-xlm-2048

Finetuned

nomic-ai/nomic-embed-text-v2-moe-unsupervised

Finetuned

nomic-ai/nomic-embed-text-v2-moe

Quantized

(13)

this model