Qwen3-Embedding-0.6B GGUF Q8_0

llama.cpp GGUF Q8_0 quantization of Qwen/Qwen3-Embedding-0.6B.

• Produced with: llama-quantize (upstream llama.cpp, April 2026 build)
• BF16 source converted via convert_hf_to_gguf.py from the fresh llama.cpp tree
• Quant type: Q8_0
• File size: 610 MB

Quickstart

llama-embedding -m qwen3-emb-0.6b-Q8_0.gguf \
  -p "What is the capital of France?"

Or via llama-cpp-python:

from llama_cpp import Llama
llm = Llama(model_path="qwen3-emb-0.6b-Q8_0.gguf", embedding=True)
vec = llm.embed("What is the capital of France?")

License

Apache 2.0 — inherited from the upstream base model.

See also

• Base: Qwen/Qwen3-Embedding-0.6B
• Garden hub: majentik/garden
• llama.cpp: https://github.com/ggml-org/llama.cpp