Alibaba's Qwen team announces the Qwen2.5 series of decoder-only dense language models, with seven open-sourced models ranging from 0.5B to 72B parameters, and plans to open-source Qwen2.
Alibaba's Qwen team announces the open-source release of the Qwen2.5-Math series, including base models (1.5B, 7B, 72B), instruction-tuned variants, and a mathematical reward model, designed for…
This blog post provides a step-by-step guide on optimizing and deploying Hugging Face Transformers models using Optimum-Intel and OpenVINO GenAI, focusing on edge and client-side deployment with C++…
Hugging Face fine-tuned Llama3 8B models to 1.58-bit quantization using the BitNet architecture, released the models under the HF1BitLLM organization, and introduced a new quantization method called…
Hugging Face announced the SQL Console, a new feature on the Hugging Face Hub that allows users to run SQL queries directly on datasets using DuckDB WASM in the browser, with features like 100% local…
Hugging FaceStory of the weekCapability change· 16 Sep
Hugging Face announces Community Tools on HuggingChat, a feature that allows users to turn any Hugging Face Space into a tool usable by models directly from HuggingChat, expanding modalities to…
Replicate's blog post describes three techniques for using synthetic training data to improve Flux fine-tuned models: generating training data from a single image using the consistent-character…