Instructions to use mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF with Transformers:

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

pipe = pipeline("feature-extraction", model="mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF", device_map="auto")

sentence-transformers

How to use mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("mradermacher/Qwen3-Embedding-Medical-0.6B-i1-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 mradermacher/Qwen3-Embedding-Medical-0.6B-i1-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 mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF:Q4_K_M --embeddings

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible embeddings server:
llama serve -hf mradermacher/Qwen3-Embedding-Medical-0.6B-i1-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 mradermacher/Qwen3-Embedding-Medical-0.6B-i1-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 mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF:Q4_K_M --embeddings

LM Studio
Jan
Ollama
How to use mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Qwen3-Embedding-Medical-0.6B-i1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3-Embedding-Medical-0.6B-i1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

mradermacher commited on Aug 13

Commit

a80b825

verified ·

1 Parent(s): ea3c4c9

uploaded from rich1

Browse files

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