AMD-SHARK-Studio

mirror of https://github.com/nod-ai/AMD-SHARK-Studio.git synced 2026-04-03 03:00:17 -04:00

Files

Quinn Dawkins ded74d09cd [vicuna.py] Keep past key values on device (#1836 )

The past key values are only used within the models themselves and can
be kept on device. For vulkan int4, this gives 44 tok/s (for the first
prompt) and settles at around 26 tok/s on 7900xtx.

2023-09-19 18:17:41 -04:00

langchain

Update conversion passes for brevitas quant op (#1795 )

2023-08-25 17:28:07 -05:00

scripts

[vicuna.py] Keep past key values on device (#1836 )

2023-09-19 18:17:41 -04:00

src

Llama2 70b (#1783 )

2023-08-25 23:04:28 -07:00

README.md

Add README for CodeGen server

2023-07-19 23:10:23 +05:30

shark_llama_cli.spec

Fix llama2 13b crashing + add spec file for CLI execution of Llama (#1797 )

2023-08-25 09:36:09 -05:00

utils.py

[MiniGPT4] Add MiniGPT4 to SHARK (#1554 )

2023-07-25 09:42:27 -07:00

README.md

CodeGen Setup using SHARK-server

Setup Server

clone SHARK and setup the venv
host the server using python apps/stable_diffusion/web/index.py --api --server_port=<PORT>
default server address is http://0.0.0.0:8080

Setup Client

fauxpilot-vscode (VSCode Extension):

Code for the extension can be found here
PreReq: VSCode extension (will need nodejs and npm to compile and run the extension)
Compile and Run the extension on VSCode (press F5 on VSCode), this opens a new VSCode window with the extension running
Open VSCode settings, search for fauxpilot in settings and modify server : http://<IP>:<PORT>, Model : codegen , Max Lines : 30

Others (REST API curl, OpenAI Python bindings) as shown here

using Github Copilot VSCode extension with SHARK-server needs more work to be functional.