lmdeploy
InternLM (Shanghai AI Laboratory)github.com/InternLM/lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Updated 2 h ago · first seen 11 Sept 2026
framework_01M294G1YECQ89606KHEDX5KJ8
- Version
- 0.17.0
- T2 · 4 h ago
- Released
- 1 Sept 2026
- T2 · 4 h ago
- License
- Apache-2.0
- T2 · 4 h ago
- Stars
- 8,058
- T2 · 4 h ago
Specification
- License
- Apache-2.0
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Repository
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Author
- OpenMMLab
Source:PyPI public package metadataT2observed 2 h agomedium
- Created at
- 15 Jun 2023
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Default branch
- main
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Homepage
- https://lmdeploy.readthedocs.io/en/latest
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Kind
- runtime
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Latest release
- 1 Sept 2026
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Latest release tag
- v0.17.0
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Latest version
- 0.17.0
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- License name
- Apache License 2.0
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Forks
- 740
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Releases
- 57
Source:PyPI public package metadataT2observed 2 h agomedium
- Stars
- 8,058
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Tags
- 70
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Watchers
- 57
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- PyPI
- lmdeploy
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Pypi release at
- 2 Sept 2026
Source:PyPI public package metadataT2observed 2 h agomedium
- Pypi url
- https://pypi.org/project/lmdeploy/
Source:PyPI public package metadataT2observed 2 h agomedium
- Pypi version
- 0.17.0
Source:PyPI public package metadataT2observed 2 h agomedium
- Python classifiers
- Programming Language :: Python :: 3.10, Programming Language :: Python :: 3.11, Programming Language :: Python :: 3.12, Programming Language :: Python :: 3.13
Source:PyPI public package metadataT2observed 2 h agomedium
- Readme url
- https://raw.githubusercontent.com/InternLM/lmdeploy/HEAD/README.md
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Releases url
- https://github.com/InternLM/lmdeploy/releases
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
- Topics
- codellama, cuda-kernels, deepspeed, fastertransformer, internlm, llama, llama2, llama3, llm, llm-inference, turbomind
Source:GitHub public repositories (HTML, releases.atom, raw files)T2observed 4 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
25
Source tiers
T225
Freshest observation
2 h ago
Conflicts
None
- Developed by
- InternLM (Shanghai AI Laboratory)
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Watchers
Watchersmetric.watchers1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 57 | → current | current | GitHub public repositories (HTML, releases.atom, raw files)T2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
New framework: lmdeploy (InternLM (Shanghai AI Laboratory))
github
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| PyPI public package metadata | pypi.org/pypi/lmdeploy/json | package | T2· Quality secondary | 2 h ago | 1 |
| GitHub public repositories (HTML, releases.atom, raw files) | github.com/InternLM/lmdeploy/releases.atom | feed | T2· Quality secondary | 4 h ago | 1 |
| GitHub public repositories (HTML, releases.atom, raw files) | raw.githubusercontent.com/InternLM/lmdeploy/HEAD/README.md | readme | T2· Quality secondary | 4 h ago | 1 |
| GitHub public repositories (HTML, releases.atom, raw files) | github.com/InternLM/lmdeploy | repository | T2· Quality secondary | 4 h ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.