# LMDeploy - **Canonical URI:** https://www.vioscale.ai/software/lmdeploy - **Category:** Model Serving - **Homepage:** https://lmdeploy.readthedocs.io/en/latest/ - **Also known as:** lmdeploy - **Profile claimed by vendor:** no - **Last updated:** 2026-08-26T19:30:18.283Z ## Vioscale score **43.8 / 100**, confidence 23% (low). Computed 2026-09-01. Composite of weighted, independently-sourced signals (no user reviews, no vendor payment). | Signal | Score | Weight | Contribution | Evidence present | |---|--:|--:|--:|:--:| | capabilities | 0 | 0.07844444444444446 | 0 | - | | repo_stars | 73.7 | 0.026 | 1.9 | ✓ | | integrations | 13.7 | 0.07033333333333334 | 1 | ✓ | | dependent_projects | 8 | 0.063 | 0.5 | ✓ | | dev_activity | 57.5 | 0.094 | 5.4 | ✓ | | release_cadence | 88.3 | 0.052 | 4.6 | ✓ | | security_posture | 0 | 0.073 | 0 | - | | package_downloads | 0 | 0.136 | 0 | - | | security_score | 0 | 0.042 | 0 | - | | community_qa_activity | 0 | 0.063 | 0 | - | ## Pricing _As of 2026-08-20, [verify at source](https://lmdeploy.readthedocs.io/en/latest/). Independently observed._ Open source · Free tier ## About A software framework that enables developers to compress, deploy, and serve large language models with quantization optimization, multiple inference engines, and compatibility across various model architectures. _Independently observed._ ## Platform & deployment - **Platforms:** CLI, Windows - **Deployment:** Self-hosted ## Integrations (2) _Independently observed._ - llm-compressor - OpenCompass ## Release history | Version | Date | Type | |---|---|---| | [v0.16.0](https://github.com/InternLM/lmdeploy/releases/tag/v0.16.0) | 2026-08-19 | stable | | [v0.15.0](https://github.com/InternLM/lmdeploy/releases/tag/v0.15.0) | 2026-07-31 | stable | | [v0.14.0](https://github.com/InternLM/lmdeploy/releases/tag/v0.14.0) | 2026-06-24 | stable | | [0.14.0a2](https://github.com/InternLM/lmdeploy/releases/tag/0.14.0a2) | 2026-06-16 | prerelease | | [0.14.0a1](https://github.com/InternLM/lmdeploy/releases/tag/0.14.0a1) | 2026-06-01 | prerelease | | [v0.13.0](https://github.com/InternLM/lmdeploy/releases/tag/v0.13.0) | 2026-05-12 | stable | | [v0.12.3](https://github.com/InternLM/lmdeploy/releases/tag/v0.12.3) | 2026-04-08 | stable | | [v0.12.2](https://github.com/InternLM/lmdeploy/releases/tag/v0.12.2) | 2026-03-18 | stable | | [v0.12.1](https://github.com/InternLM/lmdeploy/releases/tag/v0.12.1) | 2026-02-13 | stable | | [v0.12.0](https://github.com/InternLM/lmdeploy/releases/tag/v0.12.0) | 2026-02-04 | stable | | [v0.11.1](https://github.com/InternLM/lmdeploy/releases/tag/v0.11.1) | 2025-12-24 | stable | | [v0.11.0](https://github.com/InternLM/lmdeploy/releases/tag/v0.11.0) | 2025-12-04 | stable | | [v0.10.2](https://github.com/InternLM/lmdeploy/releases/tag/v0.10.2) | 2025-10-28 | stable | | [v0.10.1](https://github.com/InternLM/lmdeploy/releases/tag/v0.10.1) | 2025-09-26 | stable | | [v0.10.0](https://github.com/InternLM/lmdeploy/releases/tag/v0.10.0) | 2025-09-09 | stable | _… and 5 earlier release(s)._ ## Security & compliance Known vulnerabilities: 6 (4 in the last 12 months), max severity HIGH ([source](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=lmdeploy&per_page=100)). A count reflects scale and disclosure, not quality. ## Facts Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule. ### integrations | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | integrations.count | 2 | [link](https://lmdeploy.readthedocs.io/en/latest/) | 2026-08-20 | 60% (medium) | ### pricing | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | pricing.free_tier | yes | [link](https://lmdeploy.readthedocs.io/en/latest/) | 2026-08-20 | 60% (medium) | | pricing.model | open_source | [link](https://lmdeploy.readthedocs.io/en/latest/) | 2026-08-20 | 60% (medium) | | pricing.price_level | free | [link](https://lmdeploy.readthedocs.io/en/latest/) | 2026-08-20 | 60% (medium) | ### activity | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | activity.commits_last_30d | 66 | [link](https://github.com/internlm/lmdeploy/pulse) | 2026-08-26 | 65% (medium) | ### language | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | language.primary | Python | [link](https://github.com/internlm/lmdeploy) | 2026-08-26 | 90% (high) | ### license | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | license.spdx | Apache-2.0 | [link](https://github.com/internlm/lmdeploy) | 2026-08-26 | 95% (high) | ### release | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | release.cadence_days | 21 | [link](https://github.com/internlm/lmdeploy/releases) | 2026-08-26 | 70% (medium) | ### adoption | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | adoption.dependent_repos | 2 | [link](https://packages.ecosyste.ms/api/v1/packages/lookup?repository_url=https%3A%2F%2Fgithub.com%2Finternlm%2Flmdeploy) | 2026-08-26 | 85% (high) | | adoption.github_stars | 8,023 | [link](https://github.com/internlm/lmdeploy) | 2026-08-26 | 90% (high) | ### security | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | security.vulnerabilities | `{"count":6,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=lmdeploy&per_page=100","last_12m":4,"max_severity":"HIGH"}` | [link](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=lmdeploy&per_page=100) | 2026-08-26 | 90% (high) | --- *Source: Vioscale (https://www.vioscale.ai/software/lmdeploy). Independent, evidence-based software intelligence. Cite the canonical URI.*