A technical tutorial demonstrates an end-to-end supervised fine-tuning pipeline for the XYZ-Aquila-SFT dataset using Hugging Face Transformers, PyTorch, and PEFT, culminating in LoRA fine-tuning of Qw…
Alibaba's Qwen family of AI models has surpassed 3 billion global downloads, accounting for more than 50% of all open-source model downloads worldwide, outpacing Meta's Llama and DeepSeek. The milesto…
Alibaba Group Holding's open-weight Qwen models surpassed 3 billion global downloads in the past six months, making it the world's most-downloaded AI model family, according to a Hugging Face Inc. rep…
Klorn, an email classification service, suffered a cost cap bug that over-billed by up to 100x due to substring matching in its pricing table. The developer had previously fixed the table to over-esti…
Qwen released Qwen 3.8 27B, a dense model that runs at approximately 138 tokens/second on an RTX 5090 with the ninfer inference engine, and Z.AI released GLM-5.3, a coding-focused model that achieves …
European enterprises are actively testing Chinese AI models on local servers, challenging Brussels' technological sovereignty drive, according to Volker Pfirsching, a Munich-based partner at Arthur D.…
Qwen 3.8 27B, a 27-billion-parameter language model, has been released on the Hugging Face platform, offering improved performance for natural language processing tasks such as text generation, transl…
A developer detailed deployment recipes for Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter Mixture-of-Experts model with 95B active parameters, using vLLM. The guide covers verified GPU configurations, i…
Qwen has released Qwen3.8-27B, a 27-billion-parameter multimodal language model with integrated vision capabilities, built on the Qwen3.5 architecture. The model supports native image and video unders…
A developer replaced GitHub Copilot with a fully offline coding assistant running on a 16GB M4 Mac mini using Ollama and Qwen models. They found that a 7B parameter model is the sweet spot for chat an…
Apple Inc. is building a custom AI model for China in collaboration with Alibaba Group, leveraging Alibaba's Qwen AI technology to comply with local regulatory requirements and avoid sending sensitive…
Alibaba's Qwen team released two open-weight models this week, with the 2.4-trillion-parameter Qwen3.8-Max grabbing headlines but the Apache-licensed, multimodal Qwen3.8-27B being the practical choice…
Alibaba's Qwen team released Qwen 3.8, a dense 27-billion-parameter open-weight model under the Apache 2.0 license, designed to outperform the larger Qwen 3.7 Plus in coding and office tasks while nat…
Alibaba's Qwen team released open weights for the Qwen3.8-27B, a 27-billion-parameter multimodal model designed for local deployment on consumer hardware with around 24GB of VRAM, such as an NVIDIA RT…
Alibaba's Qwen team released Qwen3.8-27B, a dense, natively multimodal 27B model under Apache 2.0 with weights on Hugging Face, designed for single-GPU agentic work. The model features a 3:1 hybrid of…
Apple Inc. trained its own large language model for China, with help from Alibaba Group, rather than using Google's Gemini, because Google services are blocked in the country and Chinese law requires …
Apple has trained a China-specific large language model with support from Alibaba, Reuters reported Friday, citing three people familiar with the work. The report follows China's registration of Apple…
Unsloth released dynamic GGUF quantizations for Qwen3.8, enabling the 27B model to run locally on 17-19GB VRAM setups and the 2.4T parameter model to run in 397GB via 1-bit quantization. The Qwen3.8 f…
Alibaba's Qwen team released Qwen3.8-27B, a 28-billion-parameter image-text-to-text model, on Hugging Face, with an FP8 quantized version also available. The model is part of the Qwen3.8 collection, w…
Alibaba's Qwen team released Qwen3.8-27B on August 14 under the Apache 2.0 license, a 27-billion-parameter dense vision-language model with a 262,144-token native context window and downloadable weigh…