bcb2f287e1
GitOrigin-RevId: d603719ec6e294f034936c0d0dc06f689d91b6c3
99 lines
1.6 KiB
Nix
99 lines
1.6 KiB
Nix
{
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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 = [ setuptools ];
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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 = [ gradio ];
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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 = "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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