docs: add Zenodo DOI badge

README.md

@@ -1,55 +1 @@
----
-license: gemma
-tags:
-  - bigsmall
-  - compressed
-  - lossless
----
-
-# Gemma 2 2B — BigSmall Compressed
-
-Lossless compressed version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b).
-**82.6% smaller. Bit-identical weights. No quality loss.**
-
-## Quick start
-
-```bash
-pip install bigsmall
-```
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model = AutoModelForCausalLM.from_pretrained("wpferrell/gemma-2-2b-bigsmall")
-tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-2b")
-```
-
-## Low-VRAM streaming
-
-```python
-from bigsmall import BigSmallStreamingModel
-
-model = BigSmallStreamingModel.from_pretrained("wpferrell/gemma-2-2b-bigsmall")
-```
-
-## Details
-
-| | Value |
-|---|---|
-| Original model | [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) |
-| Original size | 9.8 GB |
-| Compressed size | 8.09 GB |
-| Compression ratio | 82.6% of original |
-| Format | BigSmall lossless (.bs) |
-| Reconstruction | Bit-identical, md5-verified |
-| Requires | bigsmall >= 3.0.0 |
-
-## All pre-compressed models
-
-See [wpferrell on HuggingFace](https://huggingface.co/wpferrell) for all available models.
-
-## License
-
-Model weights: same license as the original model ([google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b)).
-BigSmall format: [Elastic License 2.0](https://www.elastic.co/licensing/elastic-license) — free for personal, research, and internal commercial use.
-Commercial/SaaS licensing: wpferrell@gmail.com
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