LMDeploy Release V0.2.4

What's Changed

💥 Improvements

• use stricter rules to get weight file by @irexyc in #1070
• check pytorch engine environment by @grimoire in #1107
• Update Dockerfile order to launch the http service by docker run directly by @AllentDan in #1162
• Support torch cache_max_entry_count by @grimoire in #1166
• Remove the manual model conversion during benchmark by @lvhan028 in #953
• update llama triton example by @zhyncs in #1153

🐞 Bug fixes

• fix embedding copy size by @irexyc in #1036
• fix pytorch engine with peft==0.8.2 by @grimoire in #1122
• support triton2.2 by @grimoire in #1137
• Add top_k in ChatCompletionRequest by @lvhan028 in #1174
• minor fix benchmark generation guide and script by @lvhan028 in #1175

📚 Documentations

• docs add debug turbomind guide by @zhyncs in #1121

🌐 Other

• Add eval ci by @RunningLeon in #1060
• Ete testcase add more models by @zhulinJulia24 in #1077
• Fix win ci by @irexyc in #1132
• bump version to v0.2.4 by @lvhan028 in #1171

Full Changelog: v0.2.3...v0.2.4