Sentence Similarity
sentence-transformers
ONNX
Safetensors
GGUF
English
qwen3
feature-extraction
graphql
retrieval
embeddings
text-embeddings-inference
Instructions to use xthor/Qwen3-Embedding-0.6B-GraphQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use xthor/Qwen3-Embedding-0.6B-GraphQL with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("xthor/Qwen3-Embedding-0.6B-GraphQL") 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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use xthor/Qwen3-Embedding-0.6B-GraphQL with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf xthor/Qwen3-Embedding-0.6B-GraphQL:Q4_K_M --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf xthor/Qwen3-Embedding-0.6B-GraphQL:Q4_K_M --embeddings
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible embeddings server: ./build/bin/llama serve -hf xthor/Qwen3-Embedding-0.6B-GraphQL:Q4_K_M --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use xthor/Qwen3-Embedding-0.6B-GraphQL with Ollama:
ollama run hf.co/xthor/Qwen3-Embedding-0.6B-GraphQL:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use xthor/Qwen3-Embedding-0.6B-GraphQL with Docker Model Runner:
docker model run hf.co/xthor/Qwen3-Embedding-0.6B-GraphQL:Q4_K_M
- Lemonade
How to use xthor/Qwen3-Embedding-0.6B-GraphQL with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull xthor/Qwen3-Embedding-0.6B-GraphQL:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3-Embedding-0.6B-GraphQL-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 429 Bytes
a24693b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | [
{
"idx": 0,
"name": "0",
"path": "",
"type": "sentence_transformers.base.modules.transformer.Transformer"
},
{
"idx": 1,
"name": "1",
"path": "1_Pooling",
"type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling"
},
{
"idx": 2,
"name": "2",
"path": "2_Normalize",
"type": "sentence_transformers.sentence_transformer.modules.normalize.Normalize"
}
] |