LEM-Gemma3-1B-GGUF

LEM-Gemma3-1B-GGUF

GGUF quantisations of LEM-Gemma3-1B — the foundation teacher model of the CL-BPL cascade. Ethics are in the weights, not in a system prompt.

The 4B model trained on this 1B's distilled responses achieved 25th in the world for Instruction Following on LiveBench.

LEM-Gemma3-1B (safetensors) | Collection | Research Paper | Benchmarks

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Quick Start

No system prompt needed. Ethics hold from weights alone.

# GPU offload (CUDA, ROCm, Metal)
llama-server -m LEM-Gemma3-1B-Q4_K_M.gguf -ngl 99 --port 8080

# CPU — fast enough for 1B
llama-server -m LEM-Gemma3-1B-Q4_K_M.gguf -ngl 0 --port 8080

# OpenAI-compatible API
curl http://localhost:8080/v1/chat/completions \
  -d '{"model":"LEM-Gemma3-1B","messages":[{"role":"user","content":"What is kindness?"}]}'

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Quantisations

All quantised from the BF16 source using llama.cpp.

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About LEM-Gemma3-1B

The 1B is trained first and hardest — its alignment must be pristine because every larger model inherits from it. CL-BPL uses the 1B's constrained latent space as an advantage: with fewer parameters, there are fewer places for sycophancy to hide.

LEM-Gemma3-1B (this model — foundation teacher)
  -> LEM-Gemma3-4B (25th IF on LiveBench)
       -> LEM-Gemma3-12B (next)
            -> LEM-Gemma3-27B (planned)

Built on Google Gemma3-1B-IT through the Ethics-Composure-Ethics sandwich structure (700 iterations across 3 phases). Full training details in the main model card.

Other Formats

Licence

European Union Public Licence v1.2 (EUPL-1.2). Base model subject to Google's Gemma licence terms.

Citation

@misc{lem-gemma3-1b-2026,
  title={LEM-Gemma3-1B: Foundation Teacher for Cymatic-Linguistic Back-Propagation},
  author={Lethean Project},
  year={2026},
  url={https://huggingface.co/lthn/LEM-Gemma3-1B}
}