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add smollm to torchtune #2887
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add smollm to torchtune #2887
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/2887
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ✅ No FailuresAs of commit aa6f57a with merge base 10c31c0 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This pull request was exported from Phabricator. Differential Revision: D78495904 |
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Summary: add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Differential Revision: D78495904
This pull request was exported from Phabricator. Differential Revision: D78495904 |
Summary: Pull Request resolved: pytorch#2887 add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Differential Revision: D78495904
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Hmm, I'm not sure whether we want to see some models that are based on existing ones, but personally I'm not against it. But we need to update |
Summary: add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Reviewed By: byzhang Differential Revision: D78495904
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This pull request was exported from Phabricator. Differential Revision: D78495904 |
Summary: Pull Request resolved: pytorch#2887 add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Reviewed By: byzhang Differential Revision: D78495904
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Summary: add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Reviewed By: byzhang Differential Revision: D78495904 Privacy Context Container: L1305358
This pull request was exported from Phabricator. Differential Revision: D78495904 |
Summary: Pull Request resolved: pytorch#2887 add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Reviewed By: byzhang Differential Revision: D78495904 Privacy Context Container: L1305358
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Summary: add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Reviewed By: byzhang Differential Revision: D78495904 Privacy Context Container: L1305358
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This pull request was exported from Phabricator. Differential Revision: D78495904 |
Summary: Pull Request resolved: pytorch#2887 add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Reviewed By: byzhang Differential Revision: D78495904 Privacy Context Container: L1305358
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Summary: add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Reviewed By: byzhang Differential Revision: D78495904 Privacy Context Container: L1305358
This pull request was exported from Phabricator. Differential Revision: D78495904 |
Summary: add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3. Reviewed By: byzhang Differential Revision: D78495904 Privacy Context Container: L1305358
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This pull request was exported from Phabricator. Differential Revision: D78495904 |
could some one approve it? Thanks! |
Summary: add smolLM2 family to torchtune. SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They architecture is the same as LLaMA 3.
Differential Revision: D78495904