⚡ Quantized Models (Q4-Q8)
Collection
Aggressively quantized: Q4_K_M, Q5_K_M, Q6_K, Q8_0, int4. Same model, fraction of the size. • 14 items • Updated
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible embeddings server:
llama serve -hf dispatchAI/Qwen3-Embedding-0.6B-Q8-mobile --embeddingsUse 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 dispatchAI/Qwen3-Embedding-0.6B-Q8-mobile --embeddingsBuild 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 dispatchAI/Qwen3-Embedding-0.6B-Q8-mobile --embeddingsQuick Links
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Install (macOS, Linux)
# Start a local OpenAI-compatible embeddings server: llama serve -hf dispatchAI/Qwen3-Embedding-0.6B-Q8-mobile --embeddings