Qwen3 Embedding 0.6B

llama.cpp · Q8_0 · 0.6 GB

Qwen3 text embeddings for search and RAG on llama.cpp.

Publishedllamacppgguf-q8_0LLM inference

Needs 3.5 GiB of GPU memory · Metal on Apple silicon

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Picked Apple M1 Pro (14-core GPU): the cheapest machine that fits. Small models don't need more.

4 machines can run this now1× Apple M1 Pro (14-core GPU)Recommended$0.01/h16 GB unified · 12 GB for AI · 🇬🇧 United Kingdom · Dedicated · New hostSmall model: matched on price1× Apple M4$0.07/h16 GB unified · 11 GB for AI · 🇻🇳 Vietnam · Dedicated · New host~24 tokens/s, estimated from public benchmarks (llama.cpp discussion #4167 (Apple Silicon), read 2026-10-02)1× Apple M4 Pro (20-core GPU)$0.115/h48 GB unified · 36 GB for AI · 🇷🇴 Romania · Dedicated · New hostSmall model: matched on price1× Apple M5 Max (40-core GPU)$0.258/h48 GB unified · 37 GB for AI · 🇺🇸 United States · Dedicated · New hostSmall model: matched on price

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Template details

Rating: No ratings yet
Runs: 0
Min VRAM: 3.8 GB
Backend: Metal on Apple silicon
Weights: 0.6 GB
Version: llamacpp-qwen3-embedding-0-6b-v1.0.0
Image digest: 1f4b9cf58982…
Health check: SSH probe on the leased endpoint

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#embeddings #openai-api #gguf

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