💾 Under 1GB Models
Collection
Ultra-compact LLMs under 1GB for low-RAM phones and edge devices. Intelligence doesn't require gigabytes. • 18 items • Updated • 1
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible embeddings server:
llama serve -hf dispatchAI/EmbeddingGemma-300M-mobile --embeddingsBuild 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 dispatchAI/EmbeddingGemma-300M-mobile --embeddingsQuick Links
EmbeddingGemma-300M-mobile
🔢 Embedding — This is not a chat model.
Embedding model — use for vector embeddings, not chat. Use sentence-transformers or similar.
Model Details
| Attribute | Value |
|---|---|
| Base Model | google/embeddinggemma-300m |
| Type | EMBEDDING |
| License | gemma |
Usage
from sentence_transformers import SentenceTransformer; model = SentenceTransformer('dispatchAI/EmbeddingGemma-300M-mobile')
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Install (macOS, Linux)
# Start a local OpenAI-compatible embeddings server: llama serve -hf dispatchAI/EmbeddingGemma-300M-mobile --embeddings