repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/model_xfastertransformer.py | fastchat/model/model_xfastertransformer.py | import gc
from threading import Thread
import torch
from transformers import TextIteratorStreamer
@torch.inference_mode()
def generate_stream_xft(
model,
tokenizer,
params,
device,
context_len=8192,
stream_interval=2,
judge_sent_end=False,
):
prompt = params["prompt"]
repetition_p... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/model_yuan2.py | fastchat/model/model_yuan2.py | import gc
from threading import Thread
from typing import Iterable
import torch
import transformers
from transformers import TextIteratorStreamer, GenerationConfig
from fastchat.utils import is_partial_stop
@torch.inference_mode()
def generate_stream_yuan2(
model,
tokenizer,
params,
device,
cont... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/model_exllama.py | fastchat/model/model_exllama.py | import gc
import sys
from typing import Dict
import torch
def generate_stream_exllama(
model,
tokenizer,
params: Dict,
device: str,
context_len: int,
stream_interval: int = 2,
judge_sent_end: bool = False,
):
try:
from exllamav2.generator import ExLlamaV2StreamingGenerator, Ex... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/compression.py | fastchat/model/compression.py | import dataclasses
import gc
import glob
import os
from accelerate import init_empty_weights
from accelerate.utils import set_module_tensor_to_device
from huggingface_hub import snapshot_download
import torch
from torch import Tensor
from torch.nn import functional as F
import torch.nn as nn
from tqdm import tqdm
from... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/apply_delta.py | fastchat/model/apply_delta.py | """
Apply the delta weights on top of a base model.
Usage:
python3 -m fastchat.model.apply_delta --base ~/model_weights/llama-7b --target ~/model_weights/vicuna-7b --delta lmsys/vicuna-7b-delta-v1.1
"""
import argparse
import gc
import glob
import json
import os
import shutil
import tempfile
from huggingface_hub impo... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/__init__.py | fastchat/model/__init__.py | from fastchat.model.model_adapter import (
load_model,
get_conversation_template,
add_model_args,
)
| python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/monkey_patch_non_inplace.py | fastchat/model/monkey_patch_non_inplace.py | """
Monkey patch the llama implementation in the huggingface/transformers library.
Avoid bugs in mps backend by not using in-place operations.
"""
import math
from typing import List, Optional, Tuple
import torch
from torch import nn
import transformers
def rotate_half(x):
"""Rotates half the hidden dims of the ... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/model_adapter.py | fastchat/model/model_adapter.py | """Model adapter registration."""
import math
import os
import re
import sys
from typing import Dict, List, Optional
import warnings
if sys.version_info >= (3, 9):
from functools import cache
else:
from functools import lru_cache as cache
import psutil
import torch
from transformers import (
AutoConfig,
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | true |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/llama_condense_monkey_patch.py | fastchat/model/llama_condense_monkey_patch.py | # Code adapted from https://huggingface.co/kaiokendev/superhot-13b-8k-no-rlhf-test/blob/main/llama_rope_scaled_monkey_patch.py
from functools import partial
import torch
import transformers
import transformers.models.llama.modeling_llama
class CondenseRotaryEmbedding(torch.nn.Module):
def __init__(
self... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/apply_lora.py | fastchat/model/apply_lora.py | """
Apply the LoRA weights on top of a base model.
Usage:
python3 -m fastchat.model.apply_lora --base ~/model_weights/llama-7b --target ~/model_weights/baize-7b --lora project-baize/baize-lora-7B
Dependency:
pip3 install git+https://github.com/huggingface/peft.git@2822398fbe896f25d4dac5e468624dc5fd65a51b
"""
import a... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/model_chatglm.py | fastchat/model/model_chatglm.py | """
Inference code for ChatGLM.
Adapted from https://huggingface.co/THUDM/chatglm-6b/blob/main/modeling_chatglm.py.
"""
import re
import torch
from transformers.generation.logits_process import LogitsProcessor
class InvalidScoreLogitsProcessor(LogitsProcessor):
def __call__(
self, input_ids: torch.LongTe... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/model/model_falcon.py | fastchat/model/model_falcon.py | import gc
from threading import Thread
from typing import Iterable
import torch
import transformers
from transformers import TextIteratorStreamer, GenerationConfig
from fastchat.utils import is_partial_stop
@torch.inference_mode()
def generate_stream_falcon(
model,
tokenizer,
params,
device,
con... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/common.py | fastchat/llm_judge/common.py | """
Common data structures and utilities.
"""
import ast
import dataclasses
import glob
import json
import os
import re
import time
from typing import Optional
import openai
import anthropic
from fastchat.model.model_adapter import (
get_conversation_template,
ANTHROPIC_MODEL_LIST,
OPENAI_MODEL_LIST,
)
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/clean_judgment.py | fastchat/llm_judge/clean_judgment.py | """
Clean model judgment files.
"""
import argparse
import json
selected_models = [
"alpaca-13b",
"baize-v2-13b",
"chatglm-6b",
"claude-instant-v1",
"claude-v1",
"dolly-v2-12b",
"falcon-40b-instruct",
"fastchat-t5-3b",
"gpt-3.5-turbo",
"gpt-4",
"gpt4all-13b-snoozy",
"gua... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/qa_browser.py | fastchat/llm_judge/qa_browser.py | """
Usage:
python3 qa_browser.py --share
"""
import argparse
from collections import defaultdict
import re
import gradio as gr
from fastchat.llm_judge.common import (
load_questions,
load_model_answers,
load_single_model_judgments,
load_pairwise_model_judgments,
resolve_single_judgment_dict,
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/show_result.py | fastchat/llm_judge/show_result.py | """
Usage:
python3 show_result.py --mode [single|pairwise-baseline|pairwise-all]
"""
import argparse
import pandas as pd
def display_result_single(args):
if args.input_file is None:
input_file = (
f"data/{args.bench_name}/model_judgment/{args.judge_model}_single.jsonl"
)
else:
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/compute_agreement.py | fastchat/llm_judge/compute_agreement.py | """
Compute agreement among judges.
Usage:
python compute_agreement.py --judges gpt4-pair human --votefiles human_judgments.json gpt4_pair_judgments.json
python compute_agreement.py --judges human human --votefiles human_judgments.json
"""
import argparse
import json
import os
import numpy as np
def get_judge_name(... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/gen_model_answer.py | fastchat/llm_judge/gen_model_answer.py | """Generate answers with local models.
Usage:
python3 gen_model_answer.py --model-path lmsys/fastchat-t5-3b-v1.0 --model-id fastchat-t5-3b-v1.0
"""
import argparse
import json
import os
import random
import time
import shortuuid
import torch
from tqdm import tqdm
from fastchat.llm_judge.common import load_questions,... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/download_mt_bench_pregenerated.py | fastchat/llm_judge/download_mt_bench_pregenerated.py | """
Download the pre-generated model answers and judgments for MT-bench.
"""
import os
from fastchat.utils import run_cmd
filenames = [
"data/mt_bench/model_answer/alpaca-13b.jsonl",
"data/mt_bench/model_answer/baize-v2-13b.jsonl",
"data/mt_bench/model_answer/chatglm-6b.jsonl",
"data/mt_bench/model_an... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/gen_judgment.py | fastchat/llm_judge/gen_judgment.py | """
Usage:
python gen_judgment.py --model-list [LIST-OF-MODEL-ID] --parallel [num-concurrent-api-call] --mode [single|pairwise-baseline|pairwise-all]
"""
import argparse
from concurrent.futures import ThreadPoolExecutor
import json
import numpy as np
from tqdm import tqdm
from fastchat.llm_judge.common import (
l... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/llm_judge/gen_api_answer.py | fastchat/llm_judge/gen_api_answer.py | """Generate answers with GPT-4
Usage:
python3 gen_api_answer.py --model gpt-3.5-turbo
"""
import argparse
import json
import os
import time
import concurrent.futures
import openai
import shortuuid
import tqdm
from fastchat.llm_judge.common import (
load_questions,
temperature_config,
chat_completion_open... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/modules/awq.py | fastchat/modules/awq.py | from dataclasses import dataclass, field
from pathlib import Path
import sys
import torch
from transformers import AutoTokenizer, AutoConfig, AutoModelForCausalLM, modeling_utils
@dataclass
class AWQConfig:
ckpt: str = field(
default=None,
metadata={
"help": "Load quantized model. The... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/modules/gptq.py | fastchat/modules/gptq.py | from dataclasses import dataclass, field
import os
from os.path import isdir, isfile
from pathlib import Path
import sys
from transformers import AutoTokenizer
@dataclass
class GptqConfig:
ckpt: str = field(
default=None,
metadata={
"help": "Load quantized model. The path to the local... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/modules/__init__.py | fastchat/modules/__init__.py | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false | |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/modules/exllama.py | fastchat/modules/exllama.py | from dataclasses import dataclass, field
import sys
@dataclass
class ExllamaConfig:
max_seq_len: int
gpu_split: str = None
cache_8bit: bool = False
class ExllamaModel:
def __init__(self, exllama_model, exllama_cache):
self.model = exllama_model
self.cache = exllama_cache
self... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/modules/xfastertransformer.py | fastchat/modules/xfastertransformer.py | from dataclasses import dataclass
import sys
@dataclass
class XftConfig:
max_seq_len: int = 4096
beam_width: int = 1
eos_token_id: int = -1
pad_token_id: int = -1
num_return_sequences: int = 1
is_encoder_decoder: bool = False
padding: bool = True
early_stopping: bool = False
data_t... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/extract_single_round.py | fastchat/data/extract_single_round.py | """
Extract the first round of the conversations.
Usage: python3 -m fastchat.data.extract_single_round --in sharegpt.json
"""
import argparse
import json
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
parser.add_argument("--out-file... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/inspect_data.py | fastchat/data/inspect_data.py | """
Usage:
python3 -m fastchat.data.inspect_data --in sharegpt_20230322_clean_lang_split.json
"""
import argparse
import json
import random
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
parser.add_argument("--begin", type=int)
p... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/extract_gpt4_only.py | fastchat/data/extract_gpt4_only.py | """
Extract the conversations generated by GPT-4 only.
Usage: python3 -m fastchat.data.extract_gpt4_only --in sharegpt.json
"""
import argparse
import json
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
parser.add_argument("--out-fi... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/optional_replace.py | fastchat/data/optional_replace.py | """
Do optional replace of bos/eos/pad/unk.
Usage:
python3 -m fastchat.data.optional_replace --in input.json --out output.json --model-name-or-path <your_token_path>
Requirement:
pip3 install transformers tqdm
"""
import argparse
import json
import traceback
import transformers
from tqdm import tqdm
def replace_sp... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/split_long_conversation.py | fastchat/data/split_long_conversation.py | """
Split long conversations based on certain max length.
Usage: python3 -m fastchat.data.split_long_conversation \
--in sharegpt_clean.json \
--out sharegpt_split.json \
--model-name-or-path $<model-name>
"""
import argparse
from concurrent.futures import ProcessPoolExecutor
import json
from typing import... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/filter_wrong_format.py | fastchat/data/filter_wrong_format.py | """
Filter conversations with wrong formats.
Usage:
python3 -m fastchat.data.filter_wrong_format --in input.json --out output.json
"""
import argparse
import json
import re
from tqdm import tqdm
wrong_indices_pattern = re.compile("\n1\. [^2]*\n1\. ")
def should_skip(conv):
# Filter wrong list indices like htt... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/optional_clean.py | fastchat/data/optional_clean.py | """
Do optional cleaning (e.g., remove some languages).
Usage:
python3 -m fastchat.data.optional_clean --in input.json --out output.json --keep-lang en
python3 -m fastchat.data.optional_clean --in input.json --out output.json --skip-lang en
Requirement:
pip3 install polyglot pyicu pycld2
"""
import argparse
import js... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/prepare_all.py | fastchat/data/prepare_all.py | """Prepare all datasets."""
import argparse
import os
from fastchat.utils import run_cmd
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--prefix", type=str, default="~/datasets/sharegpt_20230521")
parser.add_argument(
"--model-name-or-path", type=str, default=... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/split_train_test.py | fastchat/data/split_train_test.py | """
Split the dataset into training and test set.
Usage: python3 -m fastchat.data.split_train_test --in sharegpt.json
"""
import argparse
import json
import numpy as np
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
parser.add_argu... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/merge.py | fastchat/data/merge.py | """
Merge two conversation files into one
Usage: python3 -m fastchat.data.merge --in file1.json file2.json --out merged.json
"""
import argparse
import json
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True, nargs="+")
parser.add_argum... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/clean_sharegpt.py | fastchat/data/clean_sharegpt.py | """
- Convert html to markdown with basic data cleaning.
- Deduplication.
Usage:
python3 -m fastchat.data.clean_sharegpt --in sharegpt_html.json --out sharegpt_clean.json
"""
import argparse
from concurrent.futures import ProcessPoolExecutor
import json
import logging
import re
from typing import Dict, Union
import b... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/convert_alpaca.py | fastchat/data/convert_alpaca.py | """
Convert alpaca dataset into sharegpt format.
Usage: python3 -m fastchat.data.convert_alpaca --in alpaca_data.json
"""
import argparse
import json
from transformers import AutoTokenizer, AutoModelForCausalLM
import numpy as np
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argu... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/__init__.py | fastchat/data/__init__.py | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false | |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/hardcoded_questions.py | fastchat/data/hardcoded_questions.py | """
Hardcoded question and answers.
"""
import json
def identity_questions():
""" "
Adapted from https://github.com/young-geng/koala_data_pipeline/blob/main/process_hard_coded_data.py
"""
content = []
name = "Vicuna"
org = "Large Model Systems Organization (LMSYS)"
def generate_conversat... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/sample.py | fastchat/data/sample.py | """
Sample some conversations from a file.
Usage: python3 -m fastchat.data.sample --in sharegpt.json --out sampled.json
"""
import argparse
import json
import numpy as np
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
parser.add_ar... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/get_stats.py | fastchat/data/get_stats.py | """
Get stats of a dataset.
Usage: python3 -m fastchat.data.get_stats --in sharegpt.json
"""
import argparse
from concurrent.futures import ProcessPoolExecutor
import json
import numpy as np
from tqdm import tqdm
from transformers import AutoTokenizer, AutoModelForCausalLM
K = 1e3
M = 1e6
def tokenize_one_sample(... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/data/pretty_json.py | fastchat/data/pretty_json.py | """
Usage:
python3 pretty_json.py --in in.json --out out.json
"""
import argparse
import json
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
parser.add_argument("--out-file", type=str, required=True)
args = parser.parse_args()
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/controller.py | fastchat/serve/controller.py | """
A controller manages distributed workers.
It sends worker addresses to clients.
"""
import argparse
import asyncio
import dataclasses
from enum import Enum, auto
import json
import logging
import os
import time
from typing import List, Union
import threading
from fastapi import FastAPI, Request
from fastapi.respon... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/openai_api_server.py | fastchat/serve/openai_api_server.py | """A server that provides OpenAI-compatible RESTful APIs. It supports:
- Chat Completions. (Reference: https://platform.openai.com/docs/api-reference/chat)
- Completions. (Reference: https://platform.openai.com/docs/api-reference/completions)
- Embeddings. (Reference: https://platform.openai.com/docs/api-reference/emb... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | true |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/call_monitor.py | fastchat/serve/call_monitor.py | import json
import os
import glob
import time
from fastapi import FastAPI
import hashlib
import asyncio
REFRESH_INTERVAL_SEC = 300
LOG_DIR_LIST = []
# LOG_DIR = "/home/vicuna/tmp/test_env"
class Monitor:
"""Monitor the number of calls to each model."""
def __init__(self, log_dir_list: list):
self.l... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/test_throughput.py | fastchat/serve/test_throughput.py | """Benchmarking script to test the throughput of serving workers."""
import argparse
import json
import requests
import threading
import time
from fastchat.conversation import get_conv_template
def main():
if args.worker_address:
worker_addr = args.worker_address
else:
controller_addr = args... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/lightllm_worker.py | fastchat/serve/lightllm_worker.py | """
A model worker that executes the model based on LightLLM.
See documentations at docs/lightllm_integration.md
"""
import argparse
import asyncio
import json
import os
import torch
import uvicorn
from transformers import AutoConfig
from typing import List
from fastapi import FastAPI, Request, BackgroundTasks
fro... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/inference.py | fastchat/serve/inference.py | """Inference for FastChat models."""
import abc
import gc
import json
import math
import os
import sys
import time
from typing import Iterable, Optional, Dict
import warnings
import psutil
import torch
from transformers import (
AutoTokenizer,
AutoModelForCausalLM,
LlamaTokenizer,
LlamaForCausalLM,
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/mlx_worker.py | fastchat/serve/mlx_worker.py | """
A model worker using Apple MLX
https://github.com/ml-explore/mlx-examples/tree/main/llms
Code based on vllm_worker https://github.com/lm-sys/FastChat/blob/main/fastchat/serve/vllm_worker.py
You must install MLX python:
pip install mlx-lm
"""
import argparse
import asyncio
import atexit
import json
from typing ... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/gradio_block_arena_named.py | fastchat/serve/gradio_block_arena_named.py | """
Chatbot Arena (side-by-side) tab.
Users chat with two chosen models.
"""
import json
import time
import gradio as gr
import numpy as np
from fastchat.constants import (
MODERATION_MSG,
CONVERSATION_LIMIT_MSG,
INPUT_CHAR_LEN_LIMIT,
CONVERSATION_TURN_LIMIT,
SURVEY_LINK,
)
from fastchat.model.mo... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/gradio_block_arena_anony.py | fastchat/serve/gradio_block_arena_anony.py | """
Chatbot Arena (battle) tab.
Users chat with two anonymous models.
"""
import json
import time
import re
import gradio as gr
import numpy as np
from fastchat.constants import (
MODERATION_MSG,
CONVERSATION_LIMIT_MSG,
SLOW_MODEL_MSG,
BLIND_MODE_INPUT_CHAR_LEN_LIMIT,
CONVERSATION_TURN_LIMIT,
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/cli.py | fastchat/serve/cli.py | """
Chat with a model with command line interface.
Usage:
python3 -m fastchat.serve.cli --model lmsys/vicuna-7b-v1.5
python3 -m fastchat.serve.cli --model lmsys/fastchat-t5-3b-v1.0
Other commands:
- Type "!!exit" or an empty line to exit.
- Type "!!reset" to start a new conversation.
- Type "!!remove" to remove the l... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/gradio_global_state.py | fastchat/serve/gradio_global_state.py | from dataclasses import dataclass, field
from typing import List
@dataclass
class Context:
text_models: List[str] = field(default_factory=list)
all_text_models: List[str] = field(default_factory=list)
vision_models: List[str] = field(default_factory=list)
all_vision_models: List[str] = field(default_f... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/huggingface_api_worker.py | fastchat/serve/huggingface_api_worker.py | """
A model worker that calls huggingface inference endpoint.
Register models in a JSON file with the following format:
{
"falcon-180b-chat": {
"model_name": "falcon-180B-chat",
"api_base": "https://api-inference.huggingface.co/models",
"model_path": "tiiuae/falcon-180B-chat",
"toke... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/remote_logger.py | fastchat/serve/remote_logger.py | # A JSON logger that sends data to remote endpoint.
# Architecturally, it hosts a background thread that sends logs to a remote endpoint.
import os
import json
import requests
import threading
import queue
import logging
_global_logger = None
def get_remote_logger():
global _global_logger
if _global_logger i... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/shutdown_serve.py | fastchat/serve/shutdown_serve.py | """
Usage：
python shutdown_serve.py --down all
options: "all","controller","model_worker","openai_api_server"， `all` means to stop all related servers
"""
import argparse
import os
import subprocess
parser = argparse.ArgumentParser()
parser.add_argument(
"--down", choices=["all", "controller", "model_worker", "o... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/multi_model_worker.py | fastchat/serve/multi_model_worker.py | """
A multi-model worker that contains multiple sub-works one for each model. This
supports running a list of models on the same machine so that they can
(potentially) share the same background weights.
Each model can have one or more model names.
This multi-model worker assumes the models shares some underlying wei... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/base_model_worker.py | fastchat/serve/base_model_worker.py | import asyncio
import threading
import time
from typing import List
from fastapi import FastAPI, Request, BackgroundTasks
from fastapi.responses import StreamingResponse, JSONResponse
import requests
from fastchat.constants import WORKER_HEART_BEAT_INTERVAL
from fastchat.conversation import Conversation
from fastchat... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/gradio_web_server.py | fastchat/serve/gradio_web_server.py | """
The gradio demo server for chatting with a single model.
"""
import argparse
from collections import defaultdict
import datetime
import hashlib
import json
import os
import random
import time
import uuid
from typing import List, Dict
import gradio as gr
import requests
from fastchat.constants import (
LOGDIR... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | true |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/launch_all_serve.py | fastchat/serve/launch_all_serve.py | """
Usage: python launch_all_serve_by_shell.py --model-path-address "THUDM/chatglm2-6b@localhost@2021" "huggyllama/llama-7b@localhost@2022"
Workers are listed in format of `model-path`@`host`@`port`
The key mechanism behind this scripts is:
1, execute shell cmd to launch the controller/worker/openai-api-server... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/huggingface_api.py | fastchat/serve/huggingface_api.py | """
Use FastChat with Hugging Face generation APIs.
Usage:
python3 -m fastchat.serve.huggingface_api --model lmsys/vicuna-7b-v1.5
python3 -m fastchat.serve.huggingface_api --model lmsys/fastchat-t5-3b-v1.0
"""
import argparse
import torch
from fastchat.model import load_model, get_conversation_template, add_model_ar... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/gradio_block_arena_vision_named.py | fastchat/serve/gradio_block_arena_vision_named.py | """
Multimodal Chatbot Arena (side-by-side) tab.
Users chat with two chosen models.
"""
import json
import os
import time
from typing import List, Union
import gradio as gr
import numpy as np
from fastchat.constants import (
TEXT_MODERATION_MSG,
IMAGE_MODERATION_MSG,
MODERATION_MSG,
CONVERSATION_LIMI... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/model_worker.py | fastchat/serve/model_worker.py | """
A model worker that executes the model.
"""
import argparse
import base64
import gc
import json
import os
from typing import List, Optional
import uuid
import torch
import torch.nn.functional as F
from transformers import set_seed
import uvicorn
from fastchat.constants import ErrorCode, SERVER_ERROR_MSG
from fast... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/register_worker.py | fastchat/serve/register_worker.py | """
Manually register workers.
Usage:
python3 -m fastchat.serve.register_worker --controller http://localhost:21001 --worker-name http://localhost:21002
"""
import argparse
import requests
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--controller-address", type=str)
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/gradio_block_arena_vision.py | fastchat/serve/gradio_block_arena_vision.py | """
The gradio demo server for chatting with a large multimodal model.
Usage:
python3 -m fastchat.serve.controller
python3 -m fastchat.serve.sglang_worker --model-path liuhaotian/llava-v1.5-7b --tokenizer-path llava-hf/llava-1.5-7b-hf
python3 -m fastchat.serve.gradio_web_server_multi --share --vision-arena
"""
import... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/gradio_web_server_multi.py | fastchat/serve/gradio_web_server_multi.py | """
The gradio demo server with multiple tabs.
It supports chatting with a single model or chatting with two models side-by-side.
"""
import argparse
import gradio as gr
from fastchat.serve.gradio_block_arena_anony import (
build_side_by_side_ui_anony,
load_demo_side_by_side_anony,
set_global_vars_anony,
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/gradio_block_arena_vision_anony.py | fastchat/serve/gradio_block_arena_vision_anony.py | """
Chatbot Arena (battle) tab.
Users chat with two anonymous models.
"""
import json
import time
import gradio as gr
import numpy as np
from typing import Union
from fastchat.constants import (
TEXT_MODERATION_MSG,
IMAGE_MODERATION_MSG,
MODERATION_MSG,
CONVERSATION_LIMIT_MSG,
SLOW_MODEL_MSG,
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/__init__.py | fastchat/serve/__init__.py | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false | |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/test_message.py | fastchat/serve/test_message.py | """Send a test message."""
import argparse
import json
import requests
from fastchat.model.model_adapter import get_conversation_template
def main():
model_name = args.model_name
if args.worker_address:
worker_addr = args.worker_address
else:
controller_addr = args.controller_address
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/sglang_worker.py | fastchat/serve/sglang_worker.py | """
A model worker that executes the model based on SGLang.
Usage:
python3 -m fastchat.serve.sglang_worker --model-path liuhaotian/llava-v1.5-7b --tokenizer-path llava-hf/llava-1.5-7b-hf --port 30000 --worker-address http://localhost:30000
"""
import argparse
import asyncio
import json
import multiprocessing
from typ... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/dashinfer_worker.py | fastchat/serve/dashinfer_worker.py | """
A model worker that executes the model based on dash-infer.
See documentations at docs/dashinfer_integration.md
"""
import argparse
import asyncio
import copy
import json
import os
import subprocess
from typing import List
from fastapi import FastAPI, Request, BackgroundTasks
from fastapi.responses import Stream... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/vllm_worker.py | fastchat/serve/vllm_worker.py | """
A model worker that executes the model based on vLLM.
See documentations at docs/vllm_integration.md
"""
import argparse
import asyncio
import json
from typing import List
from fastapi import FastAPI, Request, BackgroundTasks
from fastapi.responses import StreamingResponse, JSONResponse
import uvicorn
from vllm ... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/api_provider.py | fastchat/serve/api_provider.py | """Call API providers."""
import json
import os
import random
import re
from typing import Optional
import time
import requests
from fastchat.utils import build_logger
logger = build_logger("gradio_web_server", "gradio_web_server.log")
def get_api_provider_stream_iter(
conv,
model_name,
model_api_dic... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | true |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/vision/create_vqa_examples_json.py | fastchat/serve/vision/create_vqa_examples_json.py | """
Changes proportion of examples in metadata_sampled.json
Usage:
python3 -m fastchat.serve.vision.create_vqa_examples_json
"""
import json
import argparse
import numpy as np
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--data_dir", type=str, default="~/.cache")
pa... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/vision/image.py | fastchat/serve/vision/image.py | import base64
from enum import auto, IntEnum
from io import BytesIO
from pydantic import BaseModel
class ImageFormat(IntEnum):
"""Image formats."""
URL = auto()
LOCAL_FILEPATH = auto()
PIL_IMAGE = auto()
BYTES = auto()
DEFAULT = auto()
class Image(BaseModel):
url: str = ""
filetype... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/vision/create_vqa_examples_dir.py | fastchat/serve/vision/create_vqa_examples_dir.py | import datasets
from datasets import load_dataset
from PIL import Image
from pathlib import Path
import pandas as pd
import os
import json
import tqdm
import argparse
import shutil
import numpy as np
np.random.seed(0)
"""
Creates a directory with images and JSON files for VQA examples. Final json is located in metada... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/elo_analysis.py | fastchat/serve/monitor/elo_analysis.py | import argparse
import ast
from collections import defaultdict
import datetime
import json
import math
import pickle
from pytz import timezone
from functools import partial
import numpy as np
import pandas as pd
import plotly.express as px
from tqdm import tqdm
from fastchat.model.model_registry import get_model_info... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/rating_systems.py | fastchat/serve/monitor/rating_systems.py | import os
import math
import multiprocessing as mp
from functools import partial
import numpy as np
from scipy.special import expit
from scipy.optimize import minimize
import pandas as pd
from tqdm import tqdm
STYLE_CONTROL_ELEMENTS_V1 = [
"sum_assistant_a_tokens",
"header_count_a",
"list_count_a",
"b... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/intersect_conv_file.py | fastchat/serve/monitor/intersect_conv_file.py | """
Take the intersection of two conversation files.
Usage: python3 -m fastchat.data.merge --input input.json --conv-id conv_id_file.json --out intersect.json
"""
import argparse
import json
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--input", type=str, required=True)... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/add_markdown_info.py | fastchat/serve/monitor/add_markdown_info.py | import pandas as pd
import re
import argparse
from tqdm import tqdm
tqdm.pandas()
def count_markdown_elements(markdown_text, suffix):
counters = {
f"header_count{suffix}": {
"h1": len(re.findall(r"^#{1}\s", markdown_text, re.MULTILINE)),
"h2": len(re.findall(r"^#{2}\s", markdown_... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/criteria_labeling.py | fastchat/serve/monitor/criteria_labeling.py | import argparse
import json
import pandas as pd
import os
import re
import ast
import time
import concurrent.futures
import tqdm
import random
import threading
LOCK = threading.RLock()
## Configs
SYSTEM_PROMPT = "Your task is to evaluate how well the following input prompts can assess the capabilities of advanced AI ... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/clean_battle_data.py | fastchat/serve/monitor/clean_battle_data.py | """
Clean chatbot arena battle log.
Usage:
python3 clean_battle_data.py --mode conv_release
"""
import argparse
import datetime
import json
import os
from pytz import timezone
import time
from tqdm import tqdm
from multiprocessing import Pool
import tiktoken
from collections import Counter
import shortuuid
from fast... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/monitor_md.py | fastchat/serve/monitor/monitor_md.py | import pandas as pd
import pickle
import gradio as gr
from fastchat.constants import SURVEY_LINK
deprecated_model_name = [
"gemini-1.5-pro-exp-0801",
"gemini-1.5-pro-api-0409-preview",
"bard-jan-24-gemini-pro",
"chatgpt-4o-latest-20240808",
"gemini-1.5-pro-exp-0827",
"gemini-1.5-flash-exp-0827... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/summarize_cluster.py | fastchat/serve/monitor/summarize_cluster.py | """
Usage:
python3 summarize_cluster.py --in results_c20_kmeans_cluster.pkl --model gpt-4 --num-prompts 100
python3 summarize_cluster.py --in results_c20_kmeans_cluster.pkl --model azure-gpt-4-32k --num-prompts 200
"""
import argparse
import pickle
import pandas as pd
from fastchat.llm_judge.common import (
chat_... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/deduplication.py | fastchat/serve/monitor/deduplication.py | import os
import json
import pandas as pd
import ast
import matplotlib.pyplot as plt
from matplotlib import rcParams
import argparse
import seaborn as sns
from tqdm import tqdm
import matplotlib.pyplot as plt
import numpy as np
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argumen... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/basic_stats.py | fastchat/serve/monitor/basic_stats.py | import argparse
import code
import datetime
import json
import os
from pytz import timezone
import time
import pandas as pd # pandas>=2.0.3
import plotly.express as px
import plotly.graph_objects as go
from tqdm import tqdm
NUM_SERVERS = 14
LOG_ROOT_DIR = "~/fastchat_logs"
def get_log_files(max_num_files=None):
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/tag_openai_moderation.py | fastchat/serve/monitor/tag_openai_moderation.py | """
Add OpenAI moderation API results to all conversations.
"""
import argparse
from concurrent.futures import ThreadPoolExecutor
import json
import os
import time
import openai
import requests
from tqdm import tqdm
API_MAX_RETRY = 16
API_RETRY_SLEEP = 10
API_ERROR_OUTPUT = "$ERROR$"
def tag_moderation(text):
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/topic_clustering.py | fastchat/serve/monitor/topic_clustering.py | """
Usage:
python3 topic_clustering.py --in arena.json --english-only --min-length 32
python3 topic_clustering.py --in clean_conv_20230809_100k.json --english-only --min-length 32 --max-length 1536
"""
import argparse
import json
import pickle
import string
import time
import numpy as np
from sentence_transformers im... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/clean_chat_data.py | fastchat/serve/monitor/clean_chat_data.py | """
Clean chatbot arena chat log.
Usage:
python3 clean_chat_data.py
"""
import argparse
import json
import os
import hashlib
from pytz import timezone
from functools import partial
from math import ceil
from datetime import datetime, timedelta
from tqdm import tqdm
import time
import multiprocessing as mp
from fastch... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/copilot_arena.py | fastchat/serve/monitor/copilot_arena.py | import gradio as gr
import pandas as pd
import requests
import os
from fastchat.serve.monitor.monitor import recompute_final_ranking
copilot_arena_leaderboard_url = os.getenv("COPILOT_ARENA_LEADERBOARD_URL")
def process_copilot_arena_leaderboard(leaderboard):
leaderboard = leaderboard.copy().loc[leaderboard["vi... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/monitor.py | fastchat/serve/monitor/monitor.py | """
Live monitor of the website statistics and leaderboard.
Dependency:
sudo apt install pkg-config libicu-dev
pip install pytz gradio gdown plotly polyglot pyicu pycld2 tabulate
"""
import argparse
import ast
import json
import pickle
import os
import threading
import time
import pandas as pd
import gradio as gr
im... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | true |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/inspect_conv.py | fastchat/serve/monitor/inspect_conv.py | import argparse
import code
import datetime
import json
import os
from pytz import timezone
import time
import pandas as pd
from tqdm import tqdm
def get_log_files(max_num_files=None):
dates = []
for month in [4, 5]:
for day in range(1, 32):
dates.append(f"2023-{month:02d}-{day:02d}")
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/leaderboard_csv_to_html.py | fastchat/serve/monitor/leaderboard_csv_to_html.py | """
Convert a leaderboard csv file to html table used in the blog.
Usage:
python3 leaderboard_csv_to_html.py --in leaderboard_table_20230619.csv
"""
import argparse
import numpy as np
from fastchat.serve.monitor.monitor import load_leaderboard_table_csv
def model_hyperlink(model_name, link):
return f'<a target... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/upload_hf_dataset.py | fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/upload_hf_dataset.py | """
Upload to huggingface.
"""
import argparse
import json
from datasets import Dataset, DatasetDict, load_dataset
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
args = parser.parse_args()
objs = json.load(open(args.in_file))
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/approve_all.py | fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/approve_all.py | import requests
headers = {"authorization": "Bearer hf_XXX"}
url = "https://huggingface.co/api/datasets/lmsys/lmsys-chat-1m/user-access-request/pending"
a = requests.get(url, headers=headers)
for u in a.json():
user = u["user"]["user"]
url = "https://huggingface.co/api/datasets/lmsys/lmsys-chat-1m/user-acces... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/compute_stats.py | fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/compute_stats.py | """
From colab:
https://colab.research.google.com/drive/1oMdw_Lqgmd6DletSOLHsyD-Rc96cRShs?usp=sharing
"""
import argparse
import datetime
import json
import os
from pytz import timezone
import time
import kaleido
import numpy as np
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from ... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/merge_oai_tag.py | fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/merge_oai_tag.py | import argparse
import json
import time
from tqdm import tqdm
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
parser.add_argument("--sample", type=int)
args = parser.parse_args()
tag_file = "clean_conv_20230809_1.5M_oai_filt... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/final_post_processing.py | fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/final_post_processing.py | import argparse
import json
from tqdm import tqdm
import numpy as np
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, required=True)
args = parser.parse_args()
# Read conversations
convs = json.load(open(args.in_file))
print(f"#conv: {l... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
lm-sys/FastChat | https://github.com/lm-sys/FastChat/blob/587d5cfa1609a43d192cedb8441cac3c17db105d/fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/sample.py | fastchat/serve/monitor/dataset_release_scripts/lmsys_chat_1m/sample.py | """
Count the unique users in a battle log file.
Usage:
python3 -input in.json --number 1000
"""
import argparse
import json
import random
K = 1000
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--input", type=str)
parser.add_argument("--number", type=int, nargs="+")
... | python | Apache-2.0 | 587d5cfa1609a43d192cedb8441cac3c17db105d | 2026-01-04T14:41:02.114326Z | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.