diff --git a/README.md b/README.md index ded67c9e..fd1a3961 100644 --- a/README.md +++ b/README.md @@ -21,38 +21,21 @@ limitations under the License.
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-## 🚨 New SparseZoo Models 🚨
-### 🎃 October 2023 🎃
-**Generative AI**
-- Sparse MPT Models - [21 variants](https://sparsezoo.neuralmagic.com/?architectures=mpt&ungrouped=true)
- - âš¡ Highlighted Model âš¡ : [mpt-7b-gsm8k_mpt_pretrain-pruned80_quantized](https://sparsezoo.neuralmagic.com/models/mpt-7b-gsm8k_mpt_pretrain-pruned80_quantized?hardware=deepsparse-c6i.12xlarge&comparison=mpt-7b-gsm8k_mpt_pretrain-base)
-- Sparse OPT Models - [12 variants](https://sparsezoo.neuralmagic.com/?architectures=opt&ungrouped=true)
- - âš¡ Highlighted Model âš¡ : [opt-6.7b-opt_pretrain-pruned50_quantW8A8](https://sparsezoo.neuralmagic.com/models/opt-6.7b-opt_pretrain-pruned50_quantW8A8?hardware=deepsparse-c6i.12xlarge&comparison=opt-6.7b-opt_pretrain-base)
-- Sparse Codegen (mono,multi) Models - [10 variants](https://sparsezoo.neuralmagic.com/?ungrouped=true&architectures=codegen_mono%2Ccodegen_multi)
- - âš¡ Highlighted Model âš¡ : [codegen_multi-350m-bigquery_thepile-pruned50_quantized](https://sparsezoo.neuralmagic.com/models/codegen_multi-350m-bigquery_thepile-pruned50_quantized?hardware=deepsparse-c6i.12xlarge&comparison=codegen_multi-350m-bigquery_thepile-base)
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## Highlights
- [Model Stub Architecture Overview](https://docs.neuralmagic.com/sparsezoo/source/models.html)
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The project is licensed under the [Apache License Version 2.0.](https://github.com/neuralmagic/sparsezoo/blob/main/LICENSE)
-## Community
-
-### Contribute
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-We appreciate contributions to the code, examples, integrations, and documentation as well as bug reports and feature requests! [Learn how here.](https://github.com/neuralmagic/sparsezoo/blob/main/CONTRIBUTING.md)
-
-### Join
-
-For user help or questions about SparseZoo, sign up or log in to our [**Neural Magic Community Slack**](https://neuralmagic.com/community/). We are growing the community member by member and happy to see you there. Bugs, feature requests, or additional questions can also be posted to our [GitHub Issue Queue.](https://github.com/neuralmagic/sparsezoo/issues)
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-You can get the latest news, webinar and event invites, research papers, and other ML Performance tidbits by [subscribing](https://neuralmagic.com/subscribe/) to the Neural Magic community.
-For more general questions about Neural Magic, please fill out this [form.](http://neuralmagic.com/contact/)