https://pypi.org/project/rhai-innovation-mini-trainer/ Recent updates to the Python Package Index for rhai-innovation-mini-trainer en https://pypi.org/project/rhai-innovation-mini-trainer/0.8.1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Thu, 30 Apr 2026 19:39:18 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.8.0/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Fri, 24 Apr 2026 21:29:41 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.7.2/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Tue, 31 Mar 2026 15:20:34 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.7.1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Wed, 25 Mar 2026 19:35:08 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.7.0/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Fri, 06 Mar 2026 21:47:00 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.6.1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Thu, 26 Feb 2026 19:53:02 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.6.0/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Thu, 05 Feb 2026 00:17:49 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.5.1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Fri, 23 Jan 2026 23:16:07 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.5.0/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Thu, 08 Jan 2026 00:24:16 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.4.0/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Thu, 20 Nov 2025 20:38:23 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.4.0a1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Thu, 20 Nov 2025 20:33:19 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.3.1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Fri, 17 Oct 2025 15:46:27 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.3.0/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Tue, 14 Oct 2025 21:02:25 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.2.1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Thu, 25 Sep 2025 14:56:36 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.2.0/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Tue, 16 Sep 2025 21:29:22 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.2.0a1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Mon, 08 Sep 2025 16:14:20 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.1.1/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Wed, 03 Sep 2025 02:40:07 GMT https://pypi.org/project/rhai-innovation-mini-trainer/0.1.0/ Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT). Mon, 25 Aug 2025 14:20:07 GMT