102 lines
1.6 KiB
Nix
102 lines
1.6 KiB
Nix
{ lib
|
|
, buildPythonPackage
|
|
, fetchFromGitHub
|
|
, setuptools
|
|
, aiohttp
|
|
, fastapi
|
|
, httpx
|
|
, markdown2
|
|
, nh3
|
|
, numpy
|
|
, prompt-toolkit
|
|
, pydantic
|
|
, requests
|
|
, rich
|
|
, shortuuid
|
|
, tiktoken
|
|
, uvicorn
|
|
, anthropic
|
|
, openai
|
|
, ray
|
|
, wandb
|
|
, einops
|
|
, gradio
|
|
, accelerate
|
|
, peft
|
|
, sentencepiece
|
|
, torch
|
|
, transformers
|
|
, protobuf
|
|
}:
|
|
let
|
|
version = "0.2.34";
|
|
in
|
|
buildPythonPackage {
|
|
pname = "fschat";
|
|
inherit version;
|
|
format = "pyproject";
|
|
|
|
src = fetchFromGitHub {
|
|
owner = "lm-sys";
|
|
repo = "FastChat";
|
|
rev = "refs/tags/v${version}";
|
|
hash = "sha256-4dnKrLQYkd2uQh2K2yaQ7EgrkgX8bO4QXfjIOqpzCE8=";
|
|
};
|
|
|
|
nativeBuildInputs = [
|
|
setuptools
|
|
];
|
|
|
|
propagatedBuildInputs = [
|
|
aiohttp
|
|
fastapi
|
|
httpx
|
|
markdown2
|
|
nh3
|
|
numpy
|
|
prompt-toolkit
|
|
pydantic
|
|
requests
|
|
rich
|
|
shortuuid
|
|
tiktoken
|
|
uvicorn
|
|
# ] ++ markdown2.optional-dependencies.all;
|
|
];
|
|
|
|
passthru.optional-dependencies = {
|
|
llm_judge = [
|
|
anthropic
|
|
openai
|
|
ray
|
|
];
|
|
train = [
|
|
# flash-attn
|
|
wandb
|
|
einops
|
|
];
|
|
webui = [
|
|
gradio
|
|
];
|
|
model_worker = [
|
|
accelerate
|
|
peft
|
|
sentencepiece
|
|
torch
|
|
transformers
|
|
protobuf
|
|
];
|
|
};
|
|
|
|
pythonImportsCheck = [ "fastchat" ];
|
|
|
|
# tests require networking
|
|
doCheck = false;
|
|
|
|
meta = with lib; {
|
|
description = "An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena";
|
|
homepage = "https://github.com/lm-sys/FastChat";
|
|
license = licenses.asl20;
|
|
maintainers = with maintainers; [ happysalada ];
|
|
};
|
|
}
|