Instructions to use gpustack/jina-reranker-v2-base-multilingual-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gpustack/jina-reranker-v2-base-multilingual-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="gpustack/jina-reranker-v2-base-multilingual-GGUF")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("gpustack/jina-reranker-v2-base-multilingual-GGUF", device_map="auto")

Transformers.js

How to use gpustack/jina-reranker-v2-base-multilingual-GGUF with Transformers.js:

// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';

// Allocate pipeline
const pipe = await pipeline('text-classification', 'gpustack/jina-reranker-v2-base-multilingual-GGUF');

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use gpustack/jina-reranker-v2-base-multilingual-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 gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf gpustack/jina-reranker-v2-base-multilingual-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 gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf gpustack/jina-reranker-v2-base-multilingual-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 gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf gpustack/jina-reranker-v2-base-multilingual-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 gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M

Use Docker

docker model run hf.co/gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use gpustack/jina-reranker-v2-base-multilingual-GGUF with Ollama:
```
ollama run hf.co/gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use gpustack/jina-reranker-v2-base-multilingual-GGUF with Docker Model Runner:
```
docker model run hf.co/gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M
```

Lemonade

How to use gpustack/jina-reranker-v2-base-multilingual-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull gpustack/jina-reranker-v2-base-multilingual-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.jina-reranker-v2-base-multilingual-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

GPUStack commited on Jan 14, 2025

Commit

09a0e5b

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@@ -12,6 +12,14 @@ license: cc-by-nc-4.0
 library_name: transformers
 ---
 <br><br>
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 library_name: transformers
 ---
+# jina-reranker-v2-base-multilingual-GGUF
+**!!! Experimental supported by [gpustack/llama-box v0.0.72+](https://github.com/gpustack/llama-box) only !!!**<br/>
+**Model creator**: [Jina AI](https://huggingface.co/jinaai)<br/>
+**Original model**: [jina-reranker-v2-base-multilingual](https://huggingface.co/jinaai/jina-reranker-v2-base-multilingual)<br/>
+**GGUF quantization**: based on llama.cpp [f4d2b](https://github.com/ggerganov/llama.cpp/commit/f4d2b8846a6b34419ff9e9491aee6cd95e444bfc) that patched by llama-box
 <br><br>
 <p align="center">