commit 3be20478caf7d9b376bd5078fe76c018b88ee6ed
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Tue Apr 21 13:12:57 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: LetheanNetwork/LEM-Gemma3-1B-GGUF
    Source: Original Platform

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diff --git a/README.md b/README.md
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+---
+language: en
+tags:
+- gguf
+- lem
+- ethics
+- alignment
+- cymatic-linguistic-bpl
+- rocm
+- llama-cpp
+- gemma3
+library_name: gguf
+pipeline_tag: text-generation
+base_model: google/gemma-3-1b-it
+license: other
+license_name: eupl-1.2
+license_link: https://joinup.ec.europa.eu/licence/european-union-public-licence-v-12
+---
+
+# LEM-Gemma3-1B-GGUF
+
+GGUF quantisations of [LEM-Gemma3-1B](https://huggingface.co/lthn/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)](https://huggingface.co/lthn/LEM-Gemma3-1B) | [Collection](https://huggingface.co/collections/lthn/lethean-ethical-models-lem-699e863449120d22596f739c) | [Research Paper](https://huggingface.co/datasets/lthn/LEM-research) | [Benchmarks](https://huggingface.co/datasets/lthn/LEM-benchmarks)
+
+---
+
+## Quick Start
+
+No system prompt needed. Ethics hold from weights alone.
+
+```bash
+# 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?"}]}'
+```
+
+---
+
+## Quantisations
+
+All quantised from the BF16 source using llama.cpp.
+
+| Bits | Quant | Size | Notes |
+|------|-------|------|-------|
+| 3-bit | IQ3_XXS | 823 MB | Smallest usable (imatrix) |
+| 3-bit | IQ3_XS | 820 MB | (imatrix) |
+| 3-bit | Q3_K_S | 819 MB | |
+| 3-bit | Q3_K_M | 851 MB | |
+| 4-bit | IQ4_XS | 847 MB | (imatrix) |
+| 4-bit | Q4_K_S | 943 MB | |
+| **4-bit** | **Q4_K_M** | **967 MB** | **Recommended — best quality/size balance** |
+| 5-bit | Q5_K_S | 1.0 GB | |
+| 5-bit | Q5_K_M | 1.0 GB | Near-lossless |
+| 6-bit | Q6_K | 1.2 GB | |
+| 8-bit | Q8_0 | 1.3 GB | Virtually lossless |
+| 16-bit | BF16 | 2.4 GB | Full precision |
+
+---
+
+## 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](https://huggingface.co/lthn/LEM-Gemma3-1B).
+
+## Other Formats
+
+| Format | Repo |
+|--------|------|
+| FP16 safetensors (Transformers, vLLM) | [lthn/LEM-Gemma3-1B](https://huggingface.co/lthn/LEM-Gemma3-1B) |
+
+## Licence
+
+[European Union Public Licence v1.2](https://joinup.ec.europa.eu/licence/european-union-public-licence-v-12) (EUPL-1.2). Base model subject to Google's Gemma licence terms.
+
+## Citation
+
+```bibtex
+@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}
+}
+```