Instructions to use alst10/Qwen3-Embedding-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use alst10/Qwen3-Embedding-0.6B with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf alst10/Qwen3-Embedding-0.6B:Q4_0_ROCMFP --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf alst10/Qwen3-Embedding-0.6B:Q4_0_ROCMFP --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 alst10/Qwen3-Embedding-0.6B:Q4_0_ROCMFP --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 alst10/Qwen3-Embedding-0.6B:Q4_0_ROCMFP --embeddings
- LM Studio
- Jan
- Ollama
How to use alst10/Qwen3-Embedding-0.6B with Ollama:
ollama run hf.co/alst10/Qwen3-Embedding-0.6B:Q4_0_ROCMFP
- Unsloth Desktop
- Docker Model Runner
How to use alst10/Qwen3-Embedding-0.6B with Docker Model Runner:
docker model run hf.co/alst10/Qwen3-Embedding-0.6B:Q4_0_ROCMFP
- Lemonade
How to use alst10/Qwen3-Embedding-0.6B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull alst10/Qwen3-Embedding-0.6B:Q4_0_ROCMFP
Run and chat with the model
lemonade run user.Qwen3-Embedding-0.6B-Q4_0_ROCMFP
List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
---
license: cc-by-4.0
base_model: Qwen/Qwen3-Embedding-0.6B
tags:
- gguf
- rocm
- rocmfpx
- amd
- llama.cpp
---
# Qwen3-Embedding-0.6B - ROCmFPX Quantized
This repository contains AMD ROCmFPX quantized GGUF weights converted from [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) using [charlie12345/ROCmFPX](https://github.com/charlie12345/ROCmFPX).
## Available Files
| File | Size | Format |
| --- | --- | --- |
| Qwen3-Embedding-0.6B-Q4_0_ROCMFP4_FAST.gguf | 0.30 GB | Q4_0_ROCMFP4_FAST |
## Usage Instructions with ROCmFPX llama.cpp
```bash
git clone --depth 1 [https://github.com/charlie12345/ROCmFPX.git](https://github.com/charlie12345/ROCmFPX.git)
cd ROCmFPX
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release -DGGML_CUDA=OFF -DGGML_NATIVE=ON
cmake --build build --target llama-cli -j
./build/bin/llama-cli -m Qwen3-Embedding-0.6B-Q4_0_ROCMFP4_FAST.gguf -p "You are a helpful assistant. Hello!" -n 128
```
## License
This model is distributed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license.
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