chore(deps): bump mlx-vlm from 0.6.17 to 0.7.0 - #84
Conversation
Bumps [mlx-vlm](https://github.com/Blaizzy/mlx-vlm) from 0.6.17 to 0.7.0. - [Release notes](https://github.com/Blaizzy/mlx-vlm/releases) - [Commits](Blaizzy/mlx-vlm@v0.6.17...v0.7.0) --- updated-dependencies: - dependency-name: mlx-vlm dependency-version: 0.7.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>
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OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting If you change your mind, just re-open this PR and I'll resolve any conflicts on it. |
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@copilot Read sous's README.md and CLAUDE.md files to get a base understanding. Then, check every one of the release notes bullet links for mlx-vlm 0.7.0, and find what fixes, performance gains, etc. are unlocked for sous from this upgrade. |
Bottom lineI read README.md and CLAUDE.md, inspected sous’s integration, and checked all 74 unique PRs linked in the 0.7.0 release notes, including their relevant implementation changes. The seven contributor bullets repeat already-covered links. I also compared relevant code in the hash-verified 0.6.17 and 0.7.0 wheels. For sous as configured today, this is a modest verifier-performance opportunity, a useful short-prefill memory improvement, and better stopping robustness—not an automatic batching/APC upgrade or a stronger coding model. The important baseline is sous’s VLMEngine: dense Benefits that reach the current path
For plan economics, those are useful insofar as local volume output becomes faster or less memory-hungry. They do not change billing, model weights, or establish better coding/task-completion quality. Gains not to attribute to this PR
Useful follow-on opportunities—not unlocked by the bump alone
Complete audit: every release-note PR, in release order“Conditional” means another checkpoint/model or additional integration—not an automatic benefit to the shipped setup. Numerical examples above are upstream results only.
Validation and recommendation
Recommendation: keep the bump focused; prioritize validating the default worker/cache path. Treat batching, quantized KV, disk APC and model changes as separate engineering work, not benefits already delivered by this lockfile update. |
Bumps mlx-vlm from 0.6.17 to 0.7.0.
Release notes
Sourced from mlx-vlm's releases.
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Commits
e0159b6Merge pull request #2175 from lucasnewman/version-07052a6b34Merge pull request #2176 from Shouta0108/fix-missing-jinja21833981Merge pull request #2181 from Lazarus-931/fix/lora-resume-freezece29faalora: freeze base model when resuming via --adapter-path86ed7affix: declare jinja2 as a runtime dependency64f44c0fix(aya_vision): use patch_embeddings in variable-resolution branch (#2173)b089b6eBump version to 0.7.0.01882c7Fix Unlimited-OCR prompt suffix (#2169)dcc08e3Add Z1T-0 (Extropic attention-free sparse LM) (#2166)d506477Merge pull request #2171 from eklipse2k8/feat/MoGeDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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