Mirrors/llama.cpp
1
0
Fork 0
mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-12-26 14:20:31 +01:00
Code Issues Packages Projects Releases Wiki Activity

readme : add LLMUnity to UI projects (#9381)

Browse Source 
* add LLMUnity to UI projects

* add newline to examples/rpc/README.md to fix editorconfig-checker unit test
This commit is contained in:
Antonis Makropoulos 2024-09-09 14:21:38 +03:00 committed by GitHub
parent 54f376d0b9
commit 5ed087573e
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
2 changed files with 3 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
README.md
View File

@ -163,6 +163,7 @@ Unless otherwise noted these projects are open-source with permissive licensing:
- [AI Sublime Text plugin](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (MIT) - [AI Sublime Text plugin](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (MIT)
- [AIKit](https://github.com/sozercan/aikit) (MIT) - [AIKit](https://github.com/sozercan/aikit) (MIT)
- [LARS - The LLM & Advanced Referencing Solution](https://github.com/abgulati/LARS) (AGPL) - [LARS - The LLM & Advanced Referencing Solution](https://github.com/abgulati/LARS) (AGPL)
- [LLMUnity](https://github.com/undreamai/LLMUnity) (MIT)
*(to have a project listed here, it should clearly state that it depends on `llama.cpp`)* *(to have a project listed here, it should clearly state that it depends on `llama.cpp`)*

3
examples/rpc/README.md
View File

@ -70,4 +70,5 @@ Finally, when running `llama-cli`, use the `--rpc` option to specify the host an
$ bin/llama-cli -m ../models/tinyllama-1b/ggml-model-f16.gguf -p "Hello, my name is" --repeat-penalty 1.0 -n 64 --rpc 192.168.88.10:50052,192.168.88.11:50052 -ngl 99 $ bin/llama-cli -m ../models/tinyllama-1b/ggml-model-f16.gguf -p "Hello, my name is" --repeat-penalty 1.0 -n 64 --rpc 192.168.88.10:50052,192.168.88.11:50052 -ngl 99
``` ```
This way you can offload model layers to both local and remote devices. This way you can offload model layers to both local and remote devices.