Instructions to use jinaai/jina-embeddings-v5-text-nano-clustering-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use jinaai/jina-embeddings-v5-text-nano-clustering-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 jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf jinaai/jina-embeddings-v5-text-nano-clustering-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 jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf jinaai/jina-embeddings-v5-text-nano-clustering-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 jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf jinaai/jina-embeddings-v5-text-nano-clustering-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 jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M

Use Docker

docker model run hf.co/jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use jinaai/jina-embeddings-v5-text-nano-clustering-GGUF with Ollama:
```
ollama run hf.co/jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use jinaai/jina-embeddings-v5-text-nano-clustering-GGUF with Docker Model Runner:
```
docker model run hf.co/jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M
```

Lemonade

How to use jinaai/jina-embeddings-v5-text-nano-clustering-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull jinaai/jina-embeddings-v5-text-nano-clustering-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.jina-embeddings-v5-text-nano-clustering-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

hanxiao commited on Feb 20

Commit

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1 Parent(s): 27f7ee4

add top links: EIS, ArXiv, Blog

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@@ -19,6 +19,8 @@ library_name: llama.cpp
 GGUF quantizations of [jina-embeddings-v5-text-nano-clustering](https://huggingface.co/jinaai/jina-embeddings-v5-text-nano) using llama.cpp. A 239M parameter multilingual embedding model quantized for efficient inference.
 > [!IMPORTANT]
 > We highly recommend to first read [this blog post for more technical details and customized llama.cpp build](https://jina.ai/news/optimizing-ggufs-for-decoder-only-embedding-models).

 GGUF quantizations of [jina-embeddings-v5-text-nano-clustering](https://huggingface.co/jinaai/jina-embeddings-v5-text-nano) using llama.cpp. A 239M parameter multilingual embedding model quantized for efficient inference.
+[Elastic Inference Service](https://www.elastic.co/docs/explore-analyze/elastic-inference/eis) | [ArXiv](https://arxiv.org/abs/2602.15547) | [Blog](https://jina.ai/news/jina-embeddings-v5-text-distilling-4b-quality-into-sub-1b-multilingual-embeddings)
 > [!IMPORTANT]
 > We highly recommend to first read [this blog post for more technical details and customized llama.cpp build](https://jina.ai/news/optimizing-ggufs-for-decoder-only-embedding-models).