Qwen3 30B A3B Instruct 2507

Qwen3-30B-A3B-Instruct-2507 is hosted on the official ModelScope repository under an apache-2.0 license. The model card lists 30.53B total parameters using a Transformers, Safetensors, and PyTorch stack, classified under the qwen3 MoE family for text generation. The listing was last updated September 17, 2025, and has accumulated roughly 1,668,555 downloads with 137 collections tracked on the platform. The ModelScope page provides direct access to a hosted inference demo for the Instruct-2507 variant. It links to model evaluation resources, files and versions, and community discussions, supporting developer exploration of the checkpoint. The page reflects a stable, publicly available open-weight release that developers can download or call through ModelScope's inference endpoints without licensing restrictions.

This is the official HuggingFace discussions index for the canonical Qwen/Qwen3-30B-A3B-Instruct-2507 repository, confirming the exact variant exists at that path and has an active community. Open and closed threads cover topics such as recommended GPU setups for Qwen3 30B, an external OMS scoring post (OMS 70.4 B), GP Earlier threads also include user questions on static KV-cache support, Polish language coverage, LoRA fine-tuning issues, and installation guides. While the page itself is a discussion index rather than a substantive announcement, it independently corroborates the model's identity and surfaces ecosystem activity aroun

This Ollama page hosts a third-party community mirror (alibayram/Qwen3-30B-A3B-Instruct-2507) of the exact Qwen variant, published about a year ago as a Q4_K_M quantization. The reproduced README describes Qwen3-30B-A3B-Instruct-2507 as a causal language model at the post-training stage with 30.5B total parameters and According to the same listing, Qwen frames this release as an updated non-thinking variant of the earlier Qwen3-30B-A3B, with stated gains in instruction following, logical reasoning, text comprehension, mathematics, science, coding, and tool usage, broader multilingual long-tail knowledge, better subjective/open-ended

The Hugging Face model card for Qwen/Qwen3-30B-A3B-Instruct-2507 explicitly names the exact subject variant and serves as the strongest first-party technical reference among the supplied candidates. It documents the architecture as a causal language model with 30.5B total parameters and 3.3B activated parameters across The card lists enhancement highlights versus the prior Qwen3-30B-A3B release: significant gains in instruction following, logical reasoning, mathematics, science, coding, and tool usage; broader long-tail multilingual knowledge; better subjective/open-ended alignment; and enhanced 256K long-context understanding. It al