https://pypi.org/project/vsqz/ Recent updates to the Python Package Index for vsqz en https://pypi.org/project/vsqz/0.4.4/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Tue, 12 May 2026 07:01:31 GMT https://pypi.org/project/vsqz/0.4.2/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Mon, 11 May 2026 16:59:38 GMT https://pypi.org/project/vsqz/0.4.1/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Mon, 11 May 2026 16:26:40 GMT https://pypi.org/project/vsqz/0.4.0/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Mon, 11 May 2026 06:41:18 GMT https://pypi.org/project/vsqz/0.3.5/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 20:25:16 GMT https://pypi.org/project/vsqz/0.3.4/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 19:27:30 GMT https://pypi.org/project/vsqz/0.3.3/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 19:07:22 GMT https://pypi.org/project/vsqz/0.3.2/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 19:02:43 GMT https://pypi.org/project/vsqz/0.3.1/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 18:47:49 GMT https://pypi.org/project/vsqz/0.3.0/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 17:25:59 GMT https://pypi.org/project/vsqz/0.2.9/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 17:00:03 GMT https://pypi.org/project/vsqz/0.2.8/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 11:36:50 GMT https://pypi.org/project/vsqz/0.2.7/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 11:04:13 GMT https://pypi.org/project/vsqz/0.2.6/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 10:35:02 GMT https://pypi.org/project/vsqz/0.2.4/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 10:14:21 GMT https://pypi.org/project/vsqz/0.2.3/ gzip for AI models — train 13B on 12GB, fine-tune 20B on 24GB. 55% smaller files, 2× longer context. butterweck.solutions@gmail.com Sun, 10 May 2026 09:37:01 GMT https://pypi.org/project/vsqz/0.2.2/ gzip for AI models — train 13B on 12GB, run 20B on 24GB. 55% smaller files, 2× longer context. Works with any HuggingFace model. butterweck.solutions@gmail.com Sun, 10 May 2026 09:24:36 GMT https://pypi.org/project/vsqz/0.2.1/ gzip for AI models — train 13B on 12GB, run 20B on 24GB. 55% smaller files, 2× longer context. Works with any HuggingFace model. butterweck.solutions@gmail.com Sun, 10 May 2026 08:56:45 GMT https://pypi.org/project/vsqz/0.2.0/ gzip for AI models — train 13B on 12GB, run 20B on 24GB. 55% smaller files, 2× longer context. Works with any HuggingFace model. butterweck.solutions@gmail.com Sun, 10 May 2026 07:58:31 GMT https://pypi.org/project/vsqz/0.1.1/ Memory-efficient training for 24GB GPUs — bundle of optimizer-space compression techniques enabling 13B+ models on consumer hardware butterweck.solutions@gmail.com Sun, 10 May 2026 07:01:38 GMT https://pypi.org/project/vsqz/0.1.0.post1/ Memory-efficient training for 24GB GPUs — bundle of optimizer-space compression techniques enabling 13B+ models on consumer hardware butterweck.solutions@gmail.com Sun, 10 May 2026 02:17:15 GMT https://pypi.org/project/vsqz/0.1.0/ Memory-efficient training for 24GB GPUs — bundle of optimizer-space compression techniques enabling 13B+ models on consumer hardware butterweck.solutions@gmail.com Sun, 10 May 2026 01:50:01 GMT