google/gemma-2-2b
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Very excited to share the first two official Gemma variants from Google! Today at Google Cloud Next, we announced cutting-edge models for code and research!
First, google/codegemma-release-66152ac7b683e2667abdee11 - a new set of code-focused Gemma models at 2B and 7B, in both pretrained and instruction-tuned variants. These exhibit outstanding performance on academic benchmarks and (in my experience) real-life usage. Read more in the excellent HuggingFace blog: https://huggingface.co./blog/codegemma
Second, ( google/recurrentgemma-release-66152cbdd2d6619cb1665b7a), which is based on the outstanding Google DeepMind research in Griffin: https://arxiv.org/abs/2402.19427. RecurrentGemma is a research variant that enables higher throughput and vastly improved memory usage. We are excited about new architectures, especially in the lightweight Gemma sizes, where innovations like RecurrentGemma can scale modern AI to many more use cases.
For details on the launches of these models, check out our launch blog -- and please do not hesitate to send us feedback. We are excited to see what you build with CodeGemma and RecurrentGemma!
Huge thanks to the Hugging Face team for helping ensure that these models work flawlessly in the Hugging Face ecosystem at launch!
First, google/codegemma-release-66152ac7b683e2667abdee11 - a new set of code-focused Gemma models at 2B and 7B, in both pretrained and instruction-tuned variants. These exhibit outstanding performance on academic benchmarks and (in my experience) real-life usage. Read more in the excellent HuggingFace blog: https://huggingface.co./blog/codegemma
Second, ( google/recurrentgemma-release-66152cbdd2d6619cb1665b7a), which is based on the outstanding Google DeepMind research in Griffin: https://arxiv.org/abs/2402.19427. RecurrentGemma is a research variant that enables higher throughput and vastly improved memory usage. We are excited about new architectures, especially in the lightweight Gemma sizes, where innovations like RecurrentGemma can scale modern AI to many more use cases.
For details on the launches of these models, check out our launch blog -- and please do not hesitate to send us feedback. We are excited to see what you build with CodeGemma and RecurrentGemma!
Huge thanks to the Hugging Face team for helping ensure that these models work flawlessly in the Hugging Face ecosystem at launch!
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๐ Super
@DeepMount00
just released ๐๐ฒ๐บ๐บ๐ฎ_๐ค๐_๐๐ง๐_๐๐ฏ ๐น๐ฒ๐ฎ๐ฑ๐ถ๐ป๐ด the ๐ฅ๐๐ ๐๐ฎ๐๐ธ on the Italian ๐๐๐ _๐๐ง๐_๐๐๐๐๐๐ฅ๐๐ข๐๐ฅ๐. The model is a fine tuned version of Gemma 2B.
Model details: https://huggingface.co./DeepMount00/Gemma_QA_ITA_v3
Explore the full RAG section rankings here: https://huggingface.co./spaces/FinancialSupport/open_ita_llm_leaderboard on section Classifica RAG
Model details: https://huggingface.co./DeepMount00/Gemma_QA_ITA_v3
Explore the full RAG section rankings here: https://huggingface.co./spaces/FinancialSupport/open_ita_llm_leaderboard on section Classifica RAG
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Proposal for Renaming of Gemma-7B Model to Gemma-9B
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#34 opened 10 months ago
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ZeroShot-AI
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Is this the same as Gemini Nano?
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#25 opened 10 months ago
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nonetrix
7B or 8B?
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#24 opened 10 months ago
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New base pretrained models on the Open LLM Leaderboard!
Two new OSS models by Google, who's getting back in the game ๐
The 7B is 2nd of the leaderboard, and better than Mistral (notably on GSM8K, aka math).
google/gemma-7b
google/gemma-2b
Check more results on the leaderboard https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard
Two new OSS models by Google, who's getting back in the game ๐
The 7B is 2nd of the leaderboard, and better than Mistral (notably on GSM8K, aka math).
google/gemma-7b
google/gemma-2b
Check more results on the leaderboard https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard
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I am thrilled to announce Gemma, new 2B and 7B models from Google, based on the same research and technology used to train the Gemini models! These models achieve state-of-the-art performance for their size, and are launched across Transformers, Google Cloud, and many other surfaces worldwide starting today.
Get started using and adapting Gemma in the model Collection: google/gemma-release-65d5efbccdbb8c4202ec078b
These launches are the product of an outstanding collaboration between the Google DeepMind and Hugging Face teams over the last few months -- very proud of the work both teams have done, from integration with Vertex AI to optimization across the stack. Read more about the partnership in the main launch by @philschmid @osanseviero @pcuenq on the launch blog: https://huggingface.co./blog/gemma
More information below if you are curious about training details, eval results, and safety characteristics!
Gemma Tech Report: https://goo.gle/GemmaReport
Launch announcement: https://blog.google/technology/developers/gemma-open-models/
Get started using and adapting Gemma in the model Collection: google/gemma-release-65d5efbccdbb8c4202ec078b
These launches are the product of an outstanding collaboration between the Google DeepMind and Hugging Face teams over the last few months -- very proud of the work both teams have done, from integration with Vertex AI to optimization across the stack. Read more about the partnership in the main launch by @philschmid @osanseviero @pcuenq on the launch blog: https://huggingface.co./blog/gemma
More information below if you are curious about training details, eval results, and safety characteristics!
Gemma Tech Report: https://goo.gle/GemmaReport
Launch announcement: https://blog.google/technology/developers/gemma-open-models/
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