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#open-llm

Every item tagged open-llm, newest first.

8 items

modelsMar 12

Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM

Google released Gemma 3, a new open LLM that is multimodal, multilingual, and has a long context window. Gemma 3 is available on Hugging Face and aims to provide a high-performance, open alternative for builders. The model supports multiple languages and modalities, making it suitable for a wide range of applications.

Key takeaways
  • Gemma 3 is multimodal and multilingual.
  • Available on Hugging Face.
  • Long context window for handling complex inputs.
HHugging Face Blog#open-llm#multimodal#multilingual
modelsJun 27

Welcome Gemma 2 - Google’s new open LLM

Google released Gemma 2, a new open LLM available on Hugging Face. Gemma 2 builds on the first Gemma model, with performance and efficiency improvements. You can access Gemma 2 through Hugging Face’s model hub. The release expands Google’s open model offerings.

Key takeaways
  • Gemma 2 is available on Hugging Face.
  • Performance and efficiency improvements over Gemma 1.
  • Part of Google’s expanded open model offerings.
HHugging Face Blog#open-llm#hugging-face#gemma
modelsApr 18

Welcome Llama 3 - Meta's new open LLM

Meta released Llama 3, a new open LLM. The model is available on Hugging Face. You can use it for research and commercial applications. Llama 3 aims to improve performance and efficiency.

Key takeaways
  • Llama 3 is available on Hugging Face.
  • The model supports research and commercial use.
  • Meta focuses on performance and efficiency.
HHugging Face Blog#open-llm#hugging-face
modelsApr 10

Making thousands of open LLMs bloom in the Vertex AI Model Garden

Google Cloud has integrated Hugging Face's open LLMs into the Vertex AI Model Garden, allowing users to deploy thousands of models with one click. This integration streamlines access to open models for builders, who can now easily find, test, and deploy Hugging Face models within Google's managed infrastructure. The partnership enables rapid experimentation and deployment of AI models, reducing barriers to entry for developers. By bringing open LLMs to Vertex AI, Google Cloud is expanding its AI

Key takeaways
  • Thousands of open LLMs now available in Vertex AI Model Garden.
  • One-click deployment for Hugging Face models.
  • Streamlined access to open models within Google's managed infrastructure.
HHugging Face Blog#open-llm#model-garden#hugging-face
modelsFeb 21

Welcome Gemma - Google’s new open LLM

Google introduced Gemma, a new family of open LLMs designed for a wide range of applications. Gemma models are lightweight, optimized for deployment on diverse hardware, and available on Hugging Face. You can access Gemma for research and building AI-powered products.

Key takeaways
  • Gemma models are optimized for diverse hardware.
  • Available on Hugging Face.
  • Designed for research and building AI-powered products.
HHugging Face Blog#open-llm#hugging-face
otherFeb 8

From OpenAI to Open LLMs with Messages API on Hugging Face

Hugging Face has launched the Messages API, enabling developers to build applications on open LLMs like Llama-3 and Mistral-7B. The API provides a unified interface for text and chat-based interactions, supporting multiple models. This move aims to reduce dependence on proprietary LLM APIs and promote open LLM adoption.

Key takeaways
  • Hugging Face launches Messages API for open LLMs.
  • Supports multiple models including Llama-3 and Mistral-7B.
  • Unified interface for text and chat interactions.
HHugging Face Blog#open-llm#api#hugging-face
modelsDec 1

Open LLM Leaderboard: DROP deep dive

The Hugging Face Open LLM Leaderboard now integrates DROP, a challenging reading comprehension benchmark. The addition of DROP increases the diversity of evaluation metrics and provides builders with a more comprehensive view of model performance. The leaderboard currently features 150+ models from 70+ organizations. You can use the leaderboard to compare models and identify areas for improvement.

Key takeaways
  • The Open LLM Leaderboard now includes the DROP benchmark.
  • The leaderboard features 150+ models from 70+ organizations.
  • The addition of DROP increases evaluation metric diversity.
HHugging Face Blog#open-llm#benchmarks#leaderboard
modelsSep 16

Incredibly Fast BLOOM Inference with DeepSpeed and Accelerate

Hugging Face and Microsoft collaborated on optimized inference scripts for BLOOM, a large open LLM, using DeepSpeed and Accelerate. These scripts enable fast inference on consumer-grade hardware. You can access the scripts and benchmark results on the Hugging Face blog.

Key takeaways
  • BLOOM inference optimized using DeepSpeed and Accelerate.
  • Enables fast inference on consumer-grade hardware.
  • Scripts and benchmarks available on Hugging Face blog.
HHugging Face Blog#open-llm#optimized-inference#pytorch