Manvinder @manv
San Francisco, CA Joined December 2008-
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Soft capping is now supported in Flash Attention! 🚀 Brace yourself for fast and accurate @GoogleDeepMind Gemma2 generations. 🏎️💥💨 Thank you @narsilou and @tri_dao ❤️
Hey everyone! 👋 Guess what? 💎Gemma 2 (9B)💎 is now available on Google AI Studio! Go play around with it and let me know what you think! 😄 aistudio.google.com/app/prompts/ne… #gemmaverse
@MervinPraison @OpenAI @groq @GoogleAI @AnthropicAI @MistralAI @ollama @cohere @firecrawl_dev @AgentOpsAI Just went through the docs, this is best thing out there to experiment with AI agents on a low code mode. Executing a real office team/work scenario using ParisonAI!
Gemma 2 is also available in vLLM! 🎉github.com/vllm-project/v… Check out the update in the main branch and stay tuned for the next release coming soon
Gemma 2 is also available in vLLM! 🎉github.com/vllm-project/v… Check out the update in the main branch and stay tuned for the next release coming soon
Google just released Gemma-2. The 27B version: ✅ directly becomes the best open-source LLM as per Chatbot Arena 🥊 Punches wayyy above its weight: I plotted Arena ELO vs model size below, it's crazy 🤯
Gemma 2 27B beats Llama-3 70 on lmsys 🙌
Big Update on Google Gemma 2 Lmsys shows Gemma 2 is the king of open source AI LLM model 🔥🔥 > Beats Llama3 70B/ Qwen 72B/ Command R+ in LYMSYS Chat arena & 9B is the best < 15B model right now. > 2.5x smaller than Llama 3 & trained on 2/3rd the amount of tokens > Trained on…
@osanseviero ✈️ Love the tradition! 🤣 Gemma 2 is ready to take off! We're excited to see what our users build in the #GemmaVerse.
As per my tradition of taking a flight when a new model comes out... 🥁🥁🥁 Welcome Google's Gemma 2: 9B and 27B models, with great initial results (benchmarks and lmsys) and friendly size for developers. Find models at Hugging Face huggingface.co/collections/go… More details soon!
Gemma 2 is out, and the @huggingface team wrote a blog post summarizing all the updates. Take a look 🤗 huggingface.co/blog/gemma2
We're releasing a new high-performing open LLM: Gemma 2! Written in Keras 3, and compatible with TensorFlow, JAX, and PyTorch. Gemma 2 comes in two sizes, 9B and 27B parameters, with standard and instruction-tuned variants. Find them here: On Kaggle: kaggle.com/models/google/… On…
Google's Gemma 2 models are here! Available in 2 sizes: 9B: ollama run gemma2 27B: ollama run gemma2:27b 🗒️ you must have Ollama v0.1.47+ to run. Learn more: ollama.com/library/gemma2
I am so proud to announce that: - Gemma 2 27B IT tops all open weights models on Chatbot Arena, with a pinch of optimism in the face of uncertainty :) - Gemma 2 9B IT sets a new frontier for models of similar size. 1/n
I am absolutely thrilled to announce the release of Gemma 2! Today, we're releasing both pre-trained-only and fully post-trained 9B and 27B models. The full technical report is here: goo.gle/gemma2report and it's live *right now* on aistudio.google.com.
Gemma 2 released! Google just released the next iteration of its open LLM! Gemma 2 comes in two sizes, 9B & 27B, trained on 13T tokens. Gemma 2 27B approaches @AIatMeta Llama 3 70B performance! First @lmsysorg Chatbot Arena evals place Gemma2 27B around @AnthropicAI Claude 3…
You can now download Gemma models with Keras NLP directly from the Hugging Face Hub. Call that a nicely integrated ecosystem! Compatible models: huggingface.co/models?other=k…
Gemma v1.1 Instruct 2B and “7B” :) are out! See @robdadashi’s thread for details, featuring improvements in multi-turn, fixing some overly-chatty features, and new RL. Even more to come soon!
Gemma v1.1 Instruct 2B and “7B” :) are out! See @robdadashi’s thread for details, featuring improvements in multi-turn, fixing some overly-chatty features, and new RL. Even more to come soon!
Say hello to the new members of the Gemma family of open models, tailored to devs and researchers. Learn how they offer new and innovative options for coding tasks and research exploration. 💬➡️ goo.gle/3TJGOHy
Today i have successfully fined tuned a nepali 2B gemma model. Special thanks to @ramsri_goutham for fine-tuning original model and also providing notebooks to train and inferences. You can use the model by clicking the link : colab.research.google.com/drive/1RJjaGhM…

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