Published
Learn how to run Gemma locally on your laptop using Llama.cpp and quantized models.
Subscribe to Google for Developers → https://goo.gle/developers
#Gemma #GemmaDeveloperDay
Subscribe to Google for Developers → https://goo.gle/developers
#Gemma #GemmaDeveloperDay
- Category
- Project
- Tags
- Google, developers, pr_pr: Core DevRel DEI;
Sign in or sign up to post comments.
Be the first to comment
Up Next
-
02:02
Gemma Scope demo with Neuronpedia
-
06:20
Demo: Multi-modal Gemma: PaliGemma with Keras
-
12:21
Demo: Optimizing Gemma inference on NVIDIA GPUs with TensorRT-LLM
-
08:34
Demo: Deploying Gemma at dataflow scale
-
07:24
Demo: Gemma Scope: Sparse autoencoders on Gemma 2
-
06:37
Demo: Teach Gemma to work in YOUR language
-
08:12
Demo: Gemma 2 architecture: JAX, Flax, and more
-
26:37
Visual Blocks: Ridiculously rapid ML/AI prototyping and deployment to production
-
11:34
Demo: Taking Gemma from prototype to production faster with Vertex AI
-
37:51
Ep. 1389: Where the llama gets the last word
-
08:12
Demo: JAX, Flax and Gemma
-
02:12
New Invention - OpenTrons: Open-Source Rapid Prototyping For Biology
-
00:09
Opening a LEGO Fortnite Llama in real life. #lego #fortnite #legofortnite #llama #gameplay #meme
-
10:07
Demo: Building a Gemma chatbot with Keras
-
08:52
Demo: Gemma data, training, and the path to improvement
-
09:37
Demo: Using Gemma with the Hugging Face ecosystem
-
07:57
Demo: Gemma on-device with MediaPipe and TensorFlow Lite
-
07:20
Demo: Unleashing Gemma in production with Hugging Face Text Generation Inference (TGI)
-
07:12
Demo: Gemma 2 2B on a Jetson Orin Nano
-
30:25
Tomorrow Daily - 143: "Rapid prototyping" futuristic fashion looks really weird
-
07:12
Demo: Gemma on-device with MediaPipe
-
08:43
Demo: Post-training research with Gemma
Loading...