103 lines
1.6 KiB
Nix
103 lines
1.6 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchFromGitHub
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, setuptools
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, aiohttp
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, fastapi
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, httpx
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, markdown2
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, nh3
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, numpy
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, prompt-toolkit
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, pydantic
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, requests
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, rich
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, shortuuid
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, tiktoken
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, uvicorn
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, anthropic
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, openai
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, ray
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, wandb
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, einops
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, gradio
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, accelerate
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, peft
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, sentencepiece
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, torch
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, transformers
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, protobuf
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}:
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let
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version = "0.2.36";
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in
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buildPythonPackage {
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pname = "fschat";
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inherit version;
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format = "pyproject";
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src = fetchFromGitHub {
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owner = "lm-sys";
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repo = "FastChat";
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rev = "refs/tags/v${version}";
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hash = "sha256-tQuvQXzQbQjU16DfS1o55VHW6eklngEvIigzZGgrKB8=";
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};
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nativeBuildInputs = [
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setuptools
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];
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propagatedBuildInputs = [
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aiohttp
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fastapi
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httpx
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markdown2
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nh3
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numpy
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prompt-toolkit
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pydantic
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requests
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rich
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shortuuid
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tiktoken
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uvicorn
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# ] ++ markdown2.optional-dependencies.all;
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];
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passthru.optional-dependencies = {
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llm_judge = [
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anthropic
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openai
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ray
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];
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train = [
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# flash-attn
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wandb
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einops
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];
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webui = [
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gradio
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];
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model_worker = [
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accelerate
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peft
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sentencepiece
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torch
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transformers
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protobuf
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];
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};
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pythonImportsCheck = [ "fastchat" ];
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# tests require networking
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doCheck = false;
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meta = with lib; {
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description = "An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena";
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homepage = "https://github.com/lm-sys/FastChat";
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license = licenses.asl20;
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maintainers = with maintainers; [ happysalada ];
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};
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}
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