cleaning up scripts

app.py

@@ -10,7 +10,6 @@ from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
 from src.display.about import (
     CITATION_BUTTON_LABEL,
     CITATION_BUTTON_TEXT,
-    EVALUATION_QUEUE_TEXT,
     FAQ_TEXT,
     INTRODUCTION_TEXT,
     LLM_BENCHMARKS_TEXT,
@@ -21,24 +20,17 @@ from src.display.utils import (
     BENCHMARK_COLS,
     COLS,
     EVAL_COLS,
-    EVAL_TYPES,
     AutoEvalColumn,
-    ModelType,
-    Precision,
-    WeightType,
     fields,
 )
 from src.envs import (
-    API,
     EVAL_REQUESTS_PATH,
     AGGREGATED_REPO,
-    HF_TOKEN,
     QUEUE_REPO,
     REPO_ID,
     HF_HOME,
 )
 from src.populate import get_evaluation_queue_df, get_leaderboard_df
-from src.submission.submit import add_new_eval
 from src.tools.plots import create_metric_plot_obj, create_plot_df, create_scores_df
 
 # Configure logging
@@ -50,10 +42,6 @@ logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(
 DO_FULL_INIT = os.getenv("LEADERBOARD_FULL_INIT", "True") == "True"
 LAST_UPDATE_LEADERBOARD = datetime.datetime.now()
 
-def restart_space():
-    API.restart_space(repo_id=REPO_ID, token=HF_TOKEN)
-
-
 def time_diff_wrapper(func):
     def wrapper(*args, **kwargs):
         start_time = time.time()
@@ -121,10 +109,7 @@ def init_space():
     """Initializes the application space, loading only necessary data."""
     if DO_FULL_INIT:
         # These downloads only occur on full initialization
-        try:
-            download_dataset(QUEUE_REPO, EVAL_REQUESTS_PATH)
-        except Exception:
-            restart_space()
+        download_dataset(QUEUE_REPO, EVAL_REQUESTS_PATH)
 
     # Always redownload the leaderboard DataFrame
     leaderboard_df = get_latest_data_leaderboard()
@@ -214,29 +199,6 @@ with demo:
         with gr.TabItem("❗FAQ", elem_id="llm-benchmark-tab-table", id=4):
             gr.Markdown(FAQ_TEXT, elem_classes="markdown-text")
 
-        with gr.TabItem("🚀 Submit? ", elem_id="llm-benchmark-tab-table", id=5):
-            countdown = gr.HTML(
-                """<div align="center">
-                <div position: relative>
-                <img 
-                    src="https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard/resolve/main/gif.gif" 
-                    allowtransparency="true" 
-                    style="display:block;width:100%;height:auto;" 
-                />
-                <iframe 
-                    src="https://logwork.com/widget/countdown/?text=Surprise%20loading...&amp;timezone=Europe%2FParis&amp;width=&amp;style=circles&amp;uid=815898&amp;loc=https://logwork.com/countdown-fxmc&amp;language=en&amp;textcolor=&amp;background=%23ffd21e&amp;date=2024-06-26%2015%3A00%3A00&amp;digitscolor=%23ff9d00&amp;unitscolor=&amp" 
-                    style="position: absolute; top:0; left: 0; border: medium; width:100%; height:100%; margin: 0px; visibility: visible;" 
-                    scrolling="no" 
-                    allowtransparency="true" 
-                    frameborder="0"
-                    allowfullscreen
-                />
-                </div>
-                </div>"""
-            )
-            #gif = gr.Image(value="./gif.gif", interactive=False)
-            gr.Markdown("*Countdown by Logwork.com, gif art by Chun Te Lee*")
-
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):
             citation_button = gr.Textbox(
@@ -283,34 +245,4 @@ def enable_space_ci_and_return_server(ui: gr.Blocks) -> WebhooksServer:
 
 # Create webhooks server (with CI url if in Space and not ephemeral)
 webhooks_server = enable_space_ci_and_return_server(ui=demo)
-
-# Add webhooks
-@webhooks_server.add_webhook
-def update_leaderboard(payload: WebhookPayload) -> None:
-    """Redownloads the leaderboard dataset each time it updates"""
-    if payload.repo.type == "dataset" and payload.event.action == "update":
-        datasets.load_dataset(
-            AGGREGATED_REPO, 
-            "default", 
-            split="train", 
-            cache_dir=HF_HOME, 
-            download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD, 
-            verification_mode="no_checks"
-        )
-
-# The below code is not used at the moment, as we can manage the queue file locally
-LAST_UPDATE_QUEUE = datetime.datetime.now()
-@webhooks_server.add_webhook    
-def update_queue(payload: WebhookPayload) -> None:
-    """Redownloads the queue dataset each time it updates"""
-    if payload.repo.type == "dataset" and payload.event.action == "update":
-        current_time = datetime.datetime.now()
-        global LAST_UPDATE_QUEUE
-        if current_time - LAST_UPDATE_QUEUE > datetime.timedelta(minutes=10):
-            print("Would have updated the queue")
-            # We only redownload is last update was more than 10 minutes ago, as the queue is 
-            # updated regularly and heavy to download
-            #download_dataset(QUEUE_REPO, EVAL_REQUESTS_PATH)
-            LAST_UPDATE_QUEUE = datetime.datetime.now()
-
 webhooks_server.launch()

app_timer.py

@@ -10,33 +10,10 @@ from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
 from src.display.about import (
     CITATION_BUTTON_LABEL,
     CITATION_BUTTON_TEXT,
-    EVALUATION_QUEUE_TEXT,
-    FAQ_TEXT,
     INTRODUCTION_TEXT,
-    LLM_BENCHMARKS_TEXT,
     TITLE,
 )
 from src.display.css_html_js import custom_css
-from src.display.utils import (
-    BENCHMARK_COLS,
-    COLS,
-    EVAL_COLS,
-    EVAL_TYPES,
-    AutoEvalColumn,
-    ModelType,
-    Precision,
-    WeightType,
-    fields,
-)
-from src.envs import (
-    API,
-    EVAL_REQUESTS_PATH,
-    AGGREGATED_REPO,
-    HF_TOKEN,
-    QUEUE_REPO,
-    REPO_ID,
-    HF_HOME,
-)
 
 demo = gr.Blocks(css=custom_css)
 with demo:

src/submission/submit.py

@@ -1,169 +0,0 @@
-import json
-import os
-from datetime import datetime, timezone
-
-from src.display.formatting import styled_error, styled_message, styled_warning
-from src.envs import (
-    API,
-    EVAL_REQUESTS_PATH,
-    HF_TOKEN,
-    QUEUE_REPO,
-    RATE_LIMIT_PERIOD,
-    RATE_LIMIT_QUOTA,
-)
-from src.leaderboard.filter_models import DO_NOT_SUBMIT_MODELS
-from src.submission.check_validity import (
-    already_submitted_models,
-    check_model_card,
-    get_model_size,
-    get_model_tags,
-    is_model_on_hub,
-    user_submission_permission,
-)
-
-REQUESTED_MODELS = None
-USERS_TO_SUBMISSION_DATES = None
-
-
-def add_new_eval(
-    model: str,
-    base_model: str,
-    revision: str,
-    precision: str,
-    weight_type: str,
-    model_type: str,
-):
-    global REQUESTED_MODELS
-    global USERS_TO_SUBMISSION_DATES
-    if not REQUESTED_MODELS:
-        REQUESTED_MODELS, USERS_TO_SUBMISSION_DATES = already_submitted_models(EVAL_REQUESTS_PATH)
-
-    user_name = ""
-    model_path = model
-    if "/" in model:
-        user_name = model.split("/")[0]
-        model_path = model.split("/")[1]
-
-    precision = precision.split(" ")[0]
-    current_time = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
-
-    if model_type is None or model_type == "":
-        return styled_error("Please select a model type.")
-
-    # Is the user rate limited?
-    if user_name != "":
-        user_can_submit, error_msg = user_submission_permission(
-            user_name, USERS_TO_SUBMISSION_DATES, RATE_LIMIT_PERIOD, RATE_LIMIT_QUOTA
-        )
-        if not user_can_submit:
-            return styled_error(error_msg)
-
-    # Did the model authors forbid its submission to the leaderboard?
-    if model in DO_NOT_SUBMIT_MODELS or base_model in DO_NOT_SUBMIT_MODELS:
-        return styled_warning("Model authors have requested that their model be not submitted on the leaderboard.")
-
-    if model == "CohereForAI/c4ai-command-r-plus":
-        return styled_warning(
-            "This model cannot be submitted manually on the leaderboard before the transformers release."
-        )
-
-    # Does the model actually exist?
-    if revision == "":
-        revision = "main"
-
-    # Is the model on the hub?
-    if weight_type in ["Delta", "Adapter"]:
-        base_model_on_hub, error, _ = is_model_on_hub(
-            model_name=base_model, revision=revision, token=HF_TOKEN, test_tokenizer=True
-        )
-        if not base_model_on_hub:
-            return styled_error(f'Base model "{base_model}" {error}')
-
-    architecture = "?"
-    downloads = 0
-    created_at = ""
-    if not weight_type == "Adapter":
-        model_on_hub, error, model_config = is_model_on_hub(model_name=model, revision=revision, test_tokenizer=True)
-        if not model_on_hub or model_config is None:
-            return styled_error(f'Model "{model}" {error}')
-        if model_config is not None:
-            architectures = getattr(model_config, "architectures", None)
-            if architectures:
-                architecture = ";".join(architectures)
-            downloads = getattr(model_config, "downloads", 0)
-            created_at = getattr(model_config, "created_at", "")
-
-    # Is the model info correctly filled?
-    try:
-        model_info = API.model_info(repo_id=model, revision=revision)
-    except Exception:
-        return styled_error("Could not get your model information. Please fill it up properly.")
-
-    model_size = get_model_size(model_info=model_info, precision=precision)
-
-    # Were the model card and license filled?
-    try:
-        license = model_info.cardData["license"]
-    except Exception:
-        return styled_error("Please select a license for your model")
-
-    modelcard_OK, error_msg, model_card = check_model_card(model)
-    if not modelcard_OK:
-        return styled_error(error_msg)
-
-    tags = get_model_tags(model_card, model)
-
-    # Seems good, creating the eval
-    print("Adding new eval")
-
-    eval_entry = {
-        "model": model,
-        "base_model": base_model,
-        "revision": model_info.sha, # force to use the exact model commit 
-        "precision": precision,
-        "params": model_size,
-        "architectures": architecture,
-        "weight_type": weight_type,
-        "status": "PENDING",
-        "submitted_time": current_time,
-        "model_type": model_type,
-        "job_id": -1,
-        "job_start_time": None,
-    }
-
-    supplementary_info = {
-        "likes": model_info.likes,
-        "license": license,
-        "still_on_hub": True,
-        "tags": tags,
-        "downloads": downloads,
-        "created_at": created_at,
-    }
-
-    # Check for duplicate submission
-    if f"{model}_{revision}_{precision}" in REQUESTED_MODELS:
-        return styled_warning("This model has been already submitted.")
-
-    print("Creating eval file")
-    OUT_DIR = f"{EVAL_REQUESTS_PATH}/{user_name}"
-    os.makedirs(OUT_DIR, exist_ok=True)
-    out_path = f"{OUT_DIR}/{model_path}_eval_request_False_{precision}_{weight_type}.json"
-
-    with open(out_path, "w") as f:
-        f.write(json.dumps(eval_entry))
-
-    print("Uploading eval file")
-    API.upload_file(
-        path_or_fileobj=out_path,
-        path_in_repo=out_path.split("eval-queue/")[1],
-        repo_id=QUEUE_REPO,
-        repo_type="dataset",
-        commit_message=f"Add {model} to eval queue",
-    )
-
-    # Remove the local file
-    os.remove(out_path)
-
-    return styled_message(
-        "Your request has been submitted to the evaluation queue!\nPlease wait for up to an hour for the model to show in the PENDING list."
-    )

src/tools/create_request_file.py

@@ -1,92 +0,0 @@
-import json
-import os
-import pprint
-from datetime import datetime, timezone
-
-import click
-from colorama import Fore
-from huggingface_hub import HfApi, snapshot_download
-
-from src.display.utils import ModelType, WeightType
-from src.submission.check_validity import get_model_size
-
-EVAL_REQUESTS_PATH = "eval-queue"
-QUEUE_REPO = "open-llm-leaderboard/requests"
-
-precisions = ("float16", "bfloat16", "8bit (LLM.int8)", "4bit (QLoRA / FP4)", "GPTQ")
-model_types = [e.name for e in ModelType]
-weight_types = [e.name for e in WeightType]
-
-
-def main():
-    api = HfApi()
-    current_time = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
-    snapshot_download(repo_id=QUEUE_REPO, revision="main", local_dir=EVAL_REQUESTS_PATH, repo_type="dataset")
-
-    model_name = click.prompt("Enter model name")
-    revision = click.prompt("Enter revision", default="main")
-    precision = click.prompt("Enter precision", default="float16", type=click.Choice(precisions))
-    model_type = click.prompt("Enter model type", type=click.Choice(model_types))
-    weight_type = click.prompt("Enter weight type", default="Original", type=click.Choice(weight_types))
-    base_model = click.prompt("Enter base model", default="")
-    status = click.prompt("Enter status", default="FINISHED")
-
-    try:
-        model_info = api.model_info(repo_id=model_name, revision=revision)
-    except Exception as e:
-        print(f"{Fore.RED}Could not find model info for {model_name} on the Hub\n{e}{Fore.RESET}")
-        return 1
-
-    model_size = get_model_size(model_info=model_info, precision=precision)
-
-    try:
-        license = model_info.cardData["license"]
-    except Exception:
-        license = "?"
-
-    eval_entry = {
-        "model": model_name,
-        "base_model": base_model,
-        "revision": model_info.sha, # force to use the exact model commit 
-        "private": False,
-        "precision": precision,
-        "weight_type": weight_type,
-        "status": status,
-        "submitted_time": current_time,
-        "model_type": model_type,
-        "likes": model_info.likes,
-        "params": model_size,
-        "license": license,
-    }
-
-    user_name = ""
-    model_path = model_name
-    if "/" in model_name:
-        user_name = model_name.split("/")[0]
-        model_path = model_name.split("/")[1]
-
-    pprint.pprint(eval_entry)
-
-    if click.confirm("Do you want to continue? This request file will be pushed to the hub"):
-        click.echo("continuing...")
-
-        out_dir = f"{EVAL_REQUESTS_PATH}/{user_name}"
-        os.makedirs(out_dir, exist_ok=True)
-        out_path = f"{out_dir}/{model_path}_eval_request_{False}_{precision}_{weight_type}.json"
-
-        with open(out_path, "w") as f:
-            f.write(json.dumps(eval_entry))
-
-        api.upload_file(
-            path_or_fileobj=out_path,
-            path_in_repo=out_path.split(f"{EVAL_REQUESTS_PATH}/")[1],
-            repo_id=QUEUE_REPO,
-            repo_type="dataset",
-            commit_message=f"Add {model_name} to eval queue",
-        )
-    else:
-        click.echo("aborting...")
-
-
-if __name__ == "__main__":
-    main()

src/tools/model_backlinks.py

@@ -1,1309 +0,0 @@
-models = [
-    "uni-tianyan/Uni-TianYan",
-    "fangloveskari/ORCA_LLaMA_70B_QLoRA",
-    "garage-bAInd/Platypus2-70B-instruct",
-    "upstage/Llama-2-70b-instruct-v2",
-    "fangloveskari/Platypus_QLoRA_LLaMA_70b",
-    "yeontaek/llama-2-70B-ensemble-v5",
-    "TheBloke/Genz-70b-GPTQ",
-    "TheBloke/Platypus2-70B-Instruct-GPTQ",
-    "psmathur/model_007",
-    "yeontaek/llama-2-70B-ensemble-v4",
-    "psmathur/orca_mini_v3_70b",
-    "ehartford/Samantha-1.11-70b",
-    "MayaPH/GodziLLa2-70B",
-    "psmathur/model_007_v2",
-    "chargoddard/MelangeA-70b",
-    "ehartford/Samantha-1.1-70b",
-    "psmathur/model_009",
-    "upstage/Llama-2-70b-instruct",
-    "yeontaek/llama-2-70B-ensemble-v7",
-    "yeontaek/llama-2-70B-ensemble-v6",
-    "chargoddard/MelangeB-70b",
-    "yeontaek/llama-2-70B-ensemble-v3",
-    "chargoddard/MelangeC-70b",
-    "garage-bAInd/Camel-Platypus2-70B",
-    "yeontaek/llama-2-70B-ensemble-v2",
-    "garage-bAInd/Camel-Platypus2-70B",
-    "migtissera/Synthia-70B-v1.2",
-    "v2ray/LLaMA-2-Wizard-70B-QLoRA",
-    "quantumaikr/llama-2-70b-fb16-orca-chat-10k",
-    "v2ray/LLaMA-2-Wizard-70B-QLoRA",
-    "stabilityai/StableBeluga2",
-    "quantumaikr/llama-2-70b-fb16-guanaco-1k",
-    "garage-bAInd/Camel-Platypus2-70B",
-    "migtissera/Synthia-70B-v1.1",
-    "migtissera/Synthia-70B",
-    "psmathur/model_101",
-    "augtoma/qCammel70",
-    "augtoma/qCammel-70",
-    "augtoma/qCammel-70v1",
-    "augtoma/qCammel-70x",
-    "augtoma/qCammel-70-x",
-    "jondurbin/airoboros-l2-70b-gpt4-1.4.1",
-    "dfurman/llama-2-70b-dolphin-peft",
-    "jondurbin/airoboros-l2-70b-2.1",
-    "TheBloke/llama-2-70b-Guanaco-QLoRA-fp16",
-    "quantumaikr/QuantumLM-llama2-70B-Korean-LoRA",
-    "quantumaikr/quantumairk-llama-2-70B-instruct",
-    "psmathur/model_420",
-    "psmathur/model_51",
-    "garage-bAInd/Camel-Platypus2-70B",
-    "TheBloke/Airoboros-L2-70B-2.1-GPTQ",
-    "OpenAssistant/llama2-70b-oasst-sft-v10",
-    "garage-bAInd/Platypus2-70B",
-    "liuxiang886/llama2-70B-qlora-gpt4",
-    "upstage/llama-65b-instruct",
-    "quantumaikr/llama-2-70b-fb16-korean",
-    "NousResearch/Nous-Hermes-Llama2-70b",
-    "v2ray/LLaMA-2-Jannie-70B-QLoRA",
-    "jondurbin/airoboros-l2-70b-gpt4-m2.0",
-    "jondurbin/airoboros-l2-70b-gpt4-m2.0",
-    "OpenAssistant/llama2-70b-oasst-sft-v10",
-    "yeontaek/llama-2-70B-ensemble-v8",
-    "jondurbin/airoboros-l2-70b-gpt4-2.0",
-    "jarradh/llama2_70b_chat_uncensored",
-    "WizardLM/WizardMath-70B-V1.0",
-    "jordiclive/Llama-2-70b-oasst-1-200",
-    "WizardLM/WizardMath-70B-V1.0",
-    "jondurbin/airoboros-l2-70b-gpt4-2.0",
-    "OpenLemur/lemur-70b-chat-v1",
-    "tiiuae/falcon-180B",
-    "tiiuae/falcon-180B",
-    "stabilityai/StableBeluga1-Delta",
-    "psmathur/model_42_70b",
-    "psmathur/test_42_70b",
-    "TheBloke/fiction.live-Kimiko-V2-70B-fp16",
-    "tiiuae/falcon-180B",
-    "WizardLM/WizardMath-70B-V1.0",
-    "tiiuae/falcon-180B-chat",
-    "jondurbin/airoboros-l2-70b-gpt4-2.0",
-    "ehartford/samantha-1.1-llama-33b",
-    "ajibawa-2023/scarlett-33b",
-    "ddobokki/Llama-2-70b-orca-200k",
-    "TheBloke/gpt4-alpaca-lora_mlp-65B-HF",
-    "tiiuae/falcon-180B-chat",
-    "tiiuae/falcon-180B-chat",
-    "tiiuae/falcon-180B",
-    "TheBloke/Lemur-70B-Chat-v1-GPTQ",
-    "NousResearch/Nous-Puffin-70B",
-    "WizardLM/WizardLM-70B-V1.0",
-    "WizardLM/WizardMath-70B-V1.0",
-    "meta-llama/Llama-2-70b-hf",
-    "TheBloke/Llama-2-70B-fp16",
-    "Weyaxi/llama-2-alpacagpt4-1000step",
-    "WizardLM/WizardLM-70B-V1.0",
-    "simsim314/WizardLM-70B-V1.0-HF",
-    "simsim314/WizardLM-70B-V1.0-HF",
-    "WizardLM/WizardLM-70B-V1.0",
-    "openbmb/UltraLM-65b",
-    "psmathur/model_420_preview",
-    "WizardLM/WizardLM-70B-V1.0",
-    "simsim314/WizardLM-70B-V1.0-HF",
-    "OpenBuddy/openbuddy-llama2-70b-v10.1-bf16",
-    "upstage/llama-30b-instruct-2048",
-    "jondurbin/airoboros-65b-gpt4-1.2",
-    "TheBloke/guanaco-65B-HF",
-    "jondurbin/airoboros-65b-gpt4-1.3",
-    "meta-llama/Llama-2-70b-chat-hf",
-    "ValiantLabs/ShiningValiant",
-    "Faradaylab/Aria-70B",
-    "lilloukas/GPlatty-30B",
-    "TheBloke/VicUnlocked-alpaca-65B-QLoRA-fp16",
-    "jondurbin/airoboros-65b-gpt4-1.4-peft",
-    "jondurbin/airoboros-65b-gpt4-1.4",
-    "jondurbin/airoboros-65b-gpt4-2.0",
-    "TheBloke/WizardLM-70B-V1.0-GPTQ",
-    "TheBloke/WizardLM-70B-V1.0-GPTQ",
-    "ariellee/SuperPlatty-30B",
-    "jondurbin/airoboros-65b-gpt4-1.4",
-    "jondurbin/airoboros-65b-gpt4-2.0",
-    "yeontaek/llama-2-70b-IA3-guanaco",
-    "CalderaAI/30B-Lazarus",
-    "Aspik101/trurl-2-13b-pl-instruct_unload",
-    "ehartford/WizardLM-33B-V1.0-Uncensored",
-    "ehartford/WizardLM-33B-V1.0-Uncensored",
-    "OpenBuddy/openbuddy-llama-65b-v8-bf16",
-    "Aspik101/llama-30b-instruct-2048-PL-lora",
-    "h2oai/h2ogpt-research-oasst1-llama-65b",
-    "Aspik101/llama-30b-instruct-2048-PL-lora",
-    "CalderaAI/30B-Epsilon",
-    "Aspik101/llama-30b-2048-instruct-PL-lora_unload",
-    "jondurbin/airoboros-65b-gpt4-m2.0",
-    "jondurbin/airoboros-65b-gpt4-m2.0",
-    "Aeala/Alpaca-elina-65b",
-    "TheBloke/robin-65b-v2-fp16",
-    "TheBloke/gpt4-alpaca-lora-30b-HF",
-    "TheBloke/Llama-2-70B-chat-GPTQ",
-    "upstage/llama-30b-instruct",
-    "OpenLemur/lemur-70b-v1",
-    "lmsys/vicuna-33b-v1.3",
-    "ausboss/llama-30b-supercot",
-    "ai-business/Luban-13B",
-    "Henk717/airochronos-33B",
-    "lmsys/vicuna-33b-v1.3",
-    "Henk717/airochronos-33B",
-    "bavest/fin-llama-33b-merged",
-    "jondurbin/airoboros-33b-gpt4-1.4",
-    "YeungNLP/firefly-llama-30b",
-    "Aspik101/30B-Lazarus-instruct-PL-lora_unload",
-    "uukuguy/speechless-llama2-luban-orca-platypus-13b",
-    "xxyyy123/test_merge_p_ov1_w0.66_w0.5_n1",
-    "jondurbin/airoboros-33b-gpt4-1.2",
-    "TheBloke/alpaca-lora-65B-HF",
-    "bofenghuang/vigogne-33b-instruct",
-    "yeontaek/llama-2-13B-ensemble-v5",
-    "garage-bAInd/Platypus-30B",
-    "Open-Orca/OpenOrca-Platypus2-13B",
-    "kajdun/viwaai-30b_v4",
-    "lilloukas/Platypus-30B",
-    "Open-Orca/OpenOrca-Platypus2-13B",
-    "Henk717/chronoboros-33B",
-    "jondurbin/airoboros-33b-2.1",
-    "HiTZ/alpaca-lora-65b-en-pt-es-ca",
-    "quantumaikr/QuantumLM-70B-hf",
-    "uukuguy/speechless-llama2-13b",
-    "uukuguy/speechless-llama2-hermes-orca-platypus-13b",
-    "openaccess-ai-collective/manticore-30b-chat-pyg-alpha",
-    "LLMs/WizardLM-30B-V1.0",
-    "TheBloke/WizardLM-30B-fp16",
-    "openaccess-ai-collective/hippogriff-30b-chat",
-    "concedo/Vicuzard-30B-Uncensored",
-    "TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch",
-    "huggingface/llama-65b",
-    "huggyllama/llama-65b",
-    "gaodrew/gaodrew-llama-30b-instruct-2048-Open-Platypus-100steps",
-    "uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b",
-    "Sao10K/Mythical-Destroyer-V2-L2-13B",
-    "camel-ai/CAMEL-33B-Combined-Data",
-    "dsvv-cair/alpaca-cleaned-llama-30b-bf16",
-    "MetaIX/GPT4-X-Alpasta-30b",
-    "garage-bAInd/Stable-Platypus2-13B",
-    "TFLai/Luban-Platypus2-13B-QLora-0.80-epoch",
-    "TheBloke/OpenOrca-Platypus2-13B-GPTQ",
-    "IkariDev/Athena-tmp",
-    "OpenBuddyEA/openbuddy-llama-30b-v7.1-bf16",
-    "OpenBuddyEA/openbuddy-llama-30b-v7.1-bf16",
-    "Open-Orca/OpenOrcaxOpenChat-Preview2-13B",
-    "psmathur/model_007_13b_v2",
-    "Aspik101/Vicuzard-30B-Uncensored-instruct-PL-lora_unload",
-    "jondurbin/airoboros-33b-gpt4-m2.0",
-    "Sao10K/Mythical-Destroyer-L2-13B",
-    "TheBloke/Wizard-Vicuna-30B-Uncensored-fp16",
-    "ehartford/Wizard-Vicuna-30B-Uncensored",
-    "TFLai/Nova-13B",
-    "TheBloke/robin-33B-v2-fp16",
-    "totally-not-an-llm/PuddleJumper-13b",
-    "Aeala/VicUnlocked-alpaca-30b",
-    "Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-hf",
-    "jondurbin/airoboros-33b-gpt4",
-    "jondurbin/airoboros-33b-gpt4-m2.0",
-    "tiiuae/falcon-40b-instruct",
-    "psmathur/orca_mini_v3_13b",
-    "Aeala/GPT4-x-AlpacaDente-30b",
-    "MayaPH/GodziLLa-30B",
-    "jondurbin/airoboros-33b-gpt4-m2.0",
-    "TFLai/SpeechlessV1-Nova-13B",
-    "yeontaek/llama-2-13B-ensemble-v4",
-    "ajibawa-2023/carl-33b",
-    "jondurbin/airoboros-33b-gpt4-2.0",
-    "TFLai/Stable-Platypus2-13B-QLoRA-0.80-epoch",
-    "jondurbin/airoboros-33b-gpt4-1.3",
-    "TehVenom/oasst-sft-6-llama-33b-xor-MERGED-16bit",
-    "TFLai/OrcaMini-Platypus2-13B-QLoRA-0.80-epoch",
-    "jondurbin/airoboros-33b-gpt4-2.0",
-    "chargoddard/Chronorctypus-Limarobormes-13b",
-    "jondurbin/airoboros-33b-gpt4-1.3",
-    "Open-Orca/OpenOrca-Platypus2-13B",
-    "FelixChao/vicuna-33b-coder",
-    "FelixChao/vicuna-33b-coder",
-    "Gryphe/MythoMix-L2-13b",
-    "Aeala/Enterredaas-33b",
-    "yeontaek/llama-2-13B-ensemble-v1",
-    "TFLai/OpenOrcaPlatypus2-Platypus2-13B-QLora-0.80-epoch",
-    "TFLai/Ensemble5-Platypus2-13B-QLora-0.80-epoch",
-    "yeontaek/llama-2-13B-ensemble-v3",
-    "TFLai/MythoMix-Platypus2-13B-QLoRA-0.80-epoch",
-    "yihan6324/llama2-13b-instructmining-40k-sharegpt",
-    "timdettmers/guanaco-33b-merged",
-    "TFLai/EnsembleV5-Nova-13B",
-    "circulus/Llama-2-13b-orca-v1",
-    "Undi95/ReMM-SLERP-L2-13B",
-    "Gryphe/MythoMax-L2-13b",
-    "stabilityai/StableBeluga-13B",
-    "circulus/Llama-2-13b-orca-v1",
-    "ehartford/WizardLM-30B-Uncensored",
-    "The-Face-Of-Goonery/huginnv1.2",
-    "TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ",
-    "Sao10K/Stheno-L2-13B",
-    "bofenghuang/vigogne-2-13b-instruct",
-    "The-Face-Of-Goonery/Huginn-13b-FP16",
-    "grimpep/L2-MythoMax22b-instruct-Falseblock",
-    "TFLai/Nous-Hermes-Platypus2-13B-QLoRA-0.80-epoch",
-    "yeontaek/Platypus2xOpenOrca-13B-IA3-v4",
-    "yeontaek/Platypus2xOpenOrca-13B-IA3",
-    "yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble",
-    "Open-Orca/LlongOrca-13B-16k",
-    "Sao10K/Stheno-Inverted-L2-13B",
-    "garage-bAInd/Camel-Platypus2-13B",
-    "digitous/Alpacino30b",
-    "NousResearch/Nous-Hermes-Llama2-13b",
-    "yeontaek/Platypus2xOpenOrca-13B-IA3-v3",
-    "TFLai/MythicalDestroyerV2-Platypus2-13B-QLora-0.80-epoch",
-    "TheBloke/VicUnlocked-30B-LoRA-HF",
-    "Undi95/Nous-Hermes-13B-Code",
-    "The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16",
-    "NousResearch/Nous-Hermes-Llama2-13b",
-    "Monero/WizardLM-Uncensored-SuperCOT-StoryTelling-30b",
-    "TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ",
-    "Open-Orca/OpenOrcaxOpenChat-Preview2-13B",
-    "Austism/chronos-hermes-13b-v2",
-    "yeontaek/Platypus2xOpenOrca-13B-IA3-v2.1",
-    "yeontaek/Platypus2xOpenOrca-13B-IA3-v2",
-    "Gryphe/MythoLogic-L2-13b",
-    "augtoma/qCammel-13",
-    "YeungNLP/firefly-llama2-13b-v1.2",
-    "Aspik101/StableBeluga-13B-instruct-PL-lora_unload",
-    "andreaskoepf/llama2-13b-megacode2_min100",
-    "rombodawg/LosslessMegaCoder-llama2-13b-mini",
-    "yulan-team/YuLan-Chat-2-13b-fp16",
-    "elinas/chronos-33b",
-    "YeungNLP/firefly-llama2-13b",
-    "Sao10K/Medusa-13b",
-    "OptimalScale/robin-65b-v2-delta",
-    "minlik/chinese-alpaca-33b-merged",
-    "OpenAssistant/llama2-13b-megacode2-oasst",
-    "TheBloke/OpenAssistant-SFT-7-Llama-30B-HF",
-    "Undi95/UndiMix-v1-13b",
-    "ehartford/Samantha-1.11-13b",
-    "beaugogh/Llama2-13b-sharegpt4",
-    "Aeala/GPT4-x-AlpacaDente2-30b",
-    "luffycodes/nash-vicuna-13b-v1dot5-ep2-w-rag-w-simple",
-    "WizardLM/WizardLM-13B-V1.1",
-    "uukuguy/speechless-orca-platypus-coig-lite-2k-0.6e-13b",
-    "huggyllama/llama-30b",
-    "Undi95/ReMM-L2-13B-PIPPA",
-    "Undi95/ReMM-L2-13B",
-    "gaodrew/gaodrew-gorgonzola-13b",
-    "lmsys/vicuna-13b-v1.5",
-    "yeontaek/Platypus2xOpenOrca-13B-LoRa",
-    "Yhyu13/llama-30B-hf-openassitant",
-    "huggingface/llama-30b",
-    "lmsys/vicuna-13b-v1.5",
-    "TFLai/Athena-Platypus2-13B-QLora-0.80-epoch",
-    "TheBloke/dromedary-65b-lora-HF",
-    "yeontaek/llama-2-13b-Beluga-QLoRA",
-    "The-Face-Of-Goonery/Huginn-13b-V4",
-    "The-Face-Of-Goonery/Huginn-13b-v4.5",
-    "The-Face-Of-Goonery/Huginn-v3-13b",
-    "tiiuae/falcon-40b",
-    "WhoTookMyAmogusNickname/NewHope_HF_not_official",
-    "gaodrew/OpenOrca-Platypus2-13B-thera-1250",
-    "SLAM-group/NewHope",
-    "garage-bAInd/Platypus2-13B",
-    "migtissera/Synthia-13B",
-    "elinas/chronos-13b-v2",
-    "mosaicml/mpt-30b-chat",
-    "CHIH-HUNG/llama-2-13b-OpenOrca_5w",
-    "uukuguy/speechless-hermes-coig-lite-13b",
-    "TheBloke/tulu-30B-fp16",
-    "uukuguy/speechless-hermes-coig-lite-13b",
-    "xDAN-AI/xDAN_13b_l2_lora",
-    "lmsys/vicuna-13b-v1.5-16k",
-    "openchat/openchat_v3.1",
-    "CHIH-HUNG/llama-2-13b-dolphin_5w",
-    "Aspik101/vicuna-13b-v1.5-PL-lora_unload",
-    "Undi95/MLewd-L2-13B",
-    "ehartford/minotaur-llama2-13b-qlora",
-    "kajdun/iubaris-13b-v3",
-    "TFLai/Limarp-Platypus2-13B-QLoRA-0.80-epoch",
-    "openchat/openchat_v3.1",
-    "uukuguy/speechless-orca-platypus-coig-lite-4k-0.6e-13b",
-    "ziqingyang/chinese-alpaca-2-13b",
-    "TFLai/Airboros2.1-Platypus2-13B-QLora-0.80-epoch",
-    "yeontaek/llama-2-13b-Guanaco-QLoRA",
-    "lmsys/vicuna-13b-v1.5-16k",
-    "ehartford/based-30b",
-    "kingbri/airolima-chronos-grad-l2-13B",
-    "openchat/openchat_v3.2",
-    "uukuguy/speechless-orca-platypus-coig-lite-4k-0.5e-13b",
-    "yeontaek/Platypus2-13B-LoRa",
-    "kingbri/chronolima-airo-grad-l2-13B",
-    "openchat/openchat_v3.2",
-    "TFLai/PuddleJumper-Platypus2-13B-QLoRA-0.80-epoch",
-    "shareAI/llama2-13b-Chinese-chat",
-    "ehartford/WizardLM-1.0-Uncensored-Llama2-13b",
-    "Aspik101/Redmond-Puffin-13B-instruct-PL-lora_unload",
-    "yeontaek/llama-2-13B-ensemble-v6",
-    "WizardLM/WizardLM-13B-V1.2",
-    "TheBloke/WizardLM-13B-V1.1-GPTQ",
-    "bhenrym14/airophin-13b-pntk-16k-fp16",
-    "ehartford/WizardLM-1.0-Uncensored-Llama2-13b",
-    "Mikael110/llama-2-13b-guanaco-fp16",
-    "yeontaek/airoboros-2.1-llama-2-13B-QLoRa",
-    "CalderaAI/13B-Legerdemain-L2",
-    "grimpep/llama2-22b-wizard_vicuna",
-    "grimpep/llama2-22B-GPLATTY",
-    "bhenrym14/airophin-13b-pntk-16k-fp16",
-    "yeontaek/llama-2-13b-QLoRA",
-    "OpenAssistant/llama2-13b-orca-8k-3319",
-    "TheBloke/WizardLM-13B-V1-1-SuperHOT-8K-fp16",
-    "duliadotio/dulia-13b-8k-alpha",
-    "Undi95/LewdEngine",
-    "OpenBuddy/openbuddy-llama2-13b-v8.1-fp16",
-    "CHIH-HUNG/llama-2-13b-open_orca_20w",
-    "bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16",
-    "FlagAlpha/Llama2-Chinese-13b-Chat",
-    "LLMs/WizardLM-13B-V1.0",
-    "chansung/gpt4-alpaca-lora-13b-decapoda-1024",
-    "TheBloke/wizardLM-13B-1.0-fp16",
-    "digitous/13B-Chimera",
-    "yeontaek/Platypus2xOpenOrcaxGuanaco-13B-LoRa",
-    "jondurbin/airoboros-l2-13b-2.1",
-    "Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b",
-    "TheBloke/UltraLM-13B-fp16",
-    "openaccess-ai-collective/minotaur-13b-fixed",
-    "NousResearch/Redmond-Puffin-13B",
-    "KoboldAI/LLaMA2-13B-Holomax",
-    "Lajonbot/WizardLM-13B-V1.2-PL-lora_unload",
-    "yeontaek/Platypus2-13B-LoRa-v2",
-    "TheBloke/airoboros-13B-HF",
-    "jondurbin/airoboros-13b",
-    "jjaaaww/posi_13b",
-    "CoolWP/llama-2-13b-guanaco-fp16",
-    "yeontaek/Platypus2-13B-QLoRa",
-    "h2oai/h2ogpt-research-oig-oasst1-512-30b",
-    "dfurman/llama-2-13b-guanaco-peft",
-    "NousResearch/Redmond-Puffin-13B",
-    "pe-nlp/llama-2-13b-platypus-vicuna-wizard",
-    "CHIH-HUNG/llama-2-13b-dolphin_20w",
-    "NousResearch/Nous-Hermes-13b",
-    "NobodyExistsOnTheInternet/GiftedConvo13bLoraNoEconsE4",
-    "ehartford/Wizard-Vicuna-13B-Uncensored",
-    "TheBloke/Wizard-Vicuna-13B-Uncensored-HF",
-    "openchat/openchat_v3.2_super",
-    "bhenrym14/airophin-v2-13b-PI-8k-fp16",
-    "openaccess-ai-collective/manticore-13b",
-    "The-Face-Of-Goonery/Huginn-22b-Prototype",
-    "jphme/Llama-2-13b-chat-german",
-    "grimpep/llama2-28B-Airo03",
-    "TheBloke/Kimiko-v2-13B-fp16",
-    "FPHam/Free_Sydney_13b_HF",
-    "lmsys/vicuna-13b-v1.3",
-    "FelixChao/llama2-13b-math1.1",
-    "CalderaAI/13B-BlueMethod",
-    "meta-llama/Llama-2-13b-chat-hf",
-    "deepse/CodeUp-Llama-2-13b-chat-hf",
-    "WizardLM/WizardMath-13B-V1.0",
-    "WizardLM/WizardMath-13B-V1.0",
-    "HyperbeeAI/Tulpar-7b-v0",
-    "xxyyy123/test_qkvo_adptor",
-    "xxyyy123/mc_data_30k_from_platpus_orca_7b_10k_v1_lora_qkvo_rank14_v2",
-    "openchat/openchat_v2_w",
-    "FelixChao/llama2-13b-math1.1",
-    "psmathur/orca_mini_v3_7b",
-    "TehVenom/Metharme-13b-Merged",
-    "xxyyy123/10k_v1_lora_qkvo_rank14_v3",
-    "OpenAssistant/llama2-13b-orca-v2-8k-3166",
-    "openaccess-ai-collective/wizard-mega-13b",
-    "jondurbin/airoboros-13b-gpt4-1.4",
-    "jondurbin/airoboros-13b-gpt4-1.4-fp16",
-    "Monero/Manticore-13b-Chat-Pyg-Guanaco",
-    "FelixChao/llama2-13b-math1.2",
-    "chargoddard/platypus-2-22b-relora",
-    "FelixChao/llama2-13b-math1.2",
-    "Gryphe/MythoBoros-13b",
-    "CalderaAI/13B-Ouroboros",
-    "OpenAssistant/llama2-13b-orca-v2-8k-3166",
-    "heegyu/LIMA2-13b-hf",
-    "digitous/13B-HyperMantis",
-    "Gryphe/MythoLogic-13b",
-    "TheBloke/Airoboros-L2-13B-2.1-GPTQ",
-    "chargoddard/platypus2-22b-relora",
-    "openchat/openchat_v2",
-    "yeontaek/Platypus2-13B-IA3",
-    "stabilityai/StableBeluga-7B",
-    "circulus/Llama-2-7b-orca-v1",
-    "budecosystem/genz-13b-v2",
-    "TheBloke/gpt4-x-vicuna-13B-HF",
-    "NobodyExistsOnTheInternet/GiftedConvo13bLoraNoEcons",
-    "zarakiquemparte/zarafusionex-1.1-l2-7b",
-    "Lajonbot/tableBeluga-7B-instruct-pl-lora_unload",
-    "jondurbin/airoboros-13b-gpt4",
-    "gaodrew/gaodrew-gorgonzola-13b",
-    "jondurbin/airoboros-13b-gpt4-1.1",
-    "TheBloke/gpt4-alpaca-lora-13B-HF",
-    "zarakiquemparte/zarablendex-vq-l2-7b",
-    "openaccess-ai-collective/manticore-13b-chat-pyg",
-    "Lajonbot/Llama-2-13b-hf-instruct-pl-lora_unload",
-    "NobodyExistsOnTheInternet/PuffedLIMA13bQLORA",
-    "xxyyy123/10k_v1_lora_qkvo_rank28_v2",
-    "jondurbin/airoboros-l2-13b-gpt4-1.4.1",
-    "dhmeltzer/Llama-2-13b-hf-eli5-wiki-1024_r_64_alpha_16",
-    "NobodyExistsOnTheInternet/PuffedConvo13bLoraE4",
-    "yihan6324/llama2-7b-instructmining-40k-sharegpt",
-    "CHIH-HUNG/llama-2-13b-Open_Platypus_and_ccp_2.6w",
-    "Aeala/GPT4-x-Alpasta-13b",
-    "psmathur/orca_mini_v2_13b",
-    "YeungNLP/firefly-llama-13b",
-    "psmathur/orca_mini_v2_13b",
-    "zarakiquemparte/zarafusionix-l2-7b",
-    "yihan6324/llama2-7b-instructmining-60k-sharegpt",
-    "yihan6324/llama-2-7b-instructmining-60k-sharegpt",
-    "layoric/llama-2-13b-code-alpaca",
-    "bofenghuang/vigogne-13b-instruct",
-    "Lajonbot/vicuna-13b-v1.3-PL-lora_unload",
-    "lvkaokao/llama2-7b-hf-chat-lora-v3",
-    "ehartford/dolphin-llama-13b",
-    "YeungNLP/firefly-llama-13b-v1.2",
-    "TheBloke/Kimiko-13B-fp16",
-    "kevinpro/Vicuna-13B-CoT",
-    "eachadea/vicuna-13b-1.1",
-    "pillowtalks-ai/delta13b",
-    "TheBloke/vicuna-13B-1.1-HF",
-    "TheBloke/Vicuna-13B-CoT-fp16",
-    "lmsys/vicuna-13b-delta-v1.1",
-    "lmsys/vicuna-13b-v1.1",
-    "xxyyy123/20k_v1_lora_qkvo_rank14_v2",
-    "TheBloke/guanaco-13B-HF",
-    "TheBloke/vicuna-13b-v1.3.0-GPTQ",
-    "edor/Stable-Platypus2-mini-7B",
-    "totally-not-an-llm/EverythingLM-13b-V2-16k",
-    "zarakiquemparte/zaraxe-l2-7b",
-    "beaugogh/Llama2-7b-openorca-mc-v2",
-    "TheBloke/Nous-Hermes-13B-SuperHOT-8K-fp16",
-    "quantumaikr/QuantumLM",
-    "jondurbin/airoboros-13b-gpt4-1.2",
-    "TheBloke/robin-13B-v2-fp16",
-    "TFLai/llama-2-13b-4bit-alpaca-gpt4",
-    "yihan6324/llama2-7b-instructmining-orca-40k",
-    "dvruette/oasst-llama-13b-2-epochs",
-    "Open-Orca/LlongOrca-7B-16k",
-    "Aspik101/Nous-Hermes-13b-pl-lora_unload",
-    "ehartford/Samantha-1.11-CodeLlama-34b",
-    "nkpz/llama2-22b-chat-wizard-uncensored",
-    "bofenghuang/vigogne-13b-chat",
-    "beaugogh/Llama2-7b-openorca-mc-v1",
-    "OptimalScale/robin-13b-v2-delta",
-    "pe-nlp/llama-2-13b-vicuna-wizard",
-    "chargoddard/llama2-22b",
-    "gywy/llama2-13b-chinese-v1",
-    "frank098/Wizard-Vicuna-13B-juniper",
-    "IGeniusDev/llama13B-quant8-testv1-openorca-customdataset",
-    "CHIH-HUNG/llama-2-13b-huangyt_Fintune_1_17w-gate_up_down_proj",
-    "eachadea/vicuna-13b",
-    "yihan6324/llama2-7b-instructmining-orca-90k",
-    "chargoddard/llama2-22b-blocktriangular",
-    "luffycodes/mcq-vicuna-13b-v1.5",
-    "Yhyu13/chimera-inst-chat-13b-hf",
-    "luffycodes/mcq-vicuna-13b-v1.5",
-    "chargoddard/ypotryll-22b-epoch2-qlora",
-    "totally-not-an-llm/EverythingLM-13b-16k",
-    "luffycodes/mcq-hal-vicuna-13b-v1.5",
-    "openaccess-ai-collective/minotaur-13b",
-    "IGeniusDev/llama13B-quant8-testv1-openorca-customdataset",
-    "chargoddard/llama2-22b-blocktriangular",
-    "TFLai/Platypus2-13B-QLoRA-0.80-epoch",
-    "meta-llama/Llama-2-13b-hf",
-    "CHIH-HUNG/llama-2-13b-huangyt_FINETUNE2_3w-gate_up_down_proj",
-    "luffycodes/mcq-hal-vicuna-13b-v1.5",
-    "TheBloke/Llama-2-13B-fp16",
-    "TaylorAI/Flash-Llama-13B",
-    "shareAI/bimoGPT-llama2-13b",
-    "wahaha1987/llama_13b_sharegpt94k_fastchat",
-    "openchat/openchat_8192",
-    "CHIH-HUNG/llama-2-13b-huangyt_Fintune_1_17w-q_k_v_o_proj",
-    "dvruette/llama-13b-pretrained-sft-do2",
-    "CHIH-HUNG/llama-2-13b-alpaca-test",
-    "OpenBuddy/openbuddy-llama2-13b-v11.1-bf16",
-    "CHIH-HUNG/llama-2-13b-FINETUNE2_TEST_2.2w",
-    "project-baize/baize-v2-13b",
-    "jondurbin/airoboros-l2-13b-gpt4-m2.0",
-    "yeontaek/Platypus2xOpenOrca-13B-LoRa-v2",
-    "CHIH-HUNG/llama-2-13b-huangyt_FINETUNE2_3w",
-    "xzuyn/Alpacino-SuperCOT-13B",
-    "jondurbin/airoboros-l2-13b-gpt4-2.0",
-    "aiplanet/effi-13b",
-    "clibrain/Llama-2-13b-ft-instruct-es",
-    "CHIH-HUNG/llama-2-13b-huangyt_Fintune_1_17w",
-    "bofenghuang/vigogne-2-7b-instruct",
-    "CHIH-HUNG/llama-2-13b-huangyt_FINETUNE2_3w-q_k_v_o_proj",
-    "bofenghuang/vigogne-2-7b-chat",
-    "aiplanet/effi-13b",
-    "haonan-li/bactrian-x-llama-13b-merged",
-    "beaugogh/Llama2-7b-sharegpt4",
-    "HWERI/Llama2-7b-sharegpt4",
-    "jondurbin/airoboros-13b-gpt4-1.3",
-    "jondurbin/airoboros-c34b-2.1",
-    "junelee/wizard-vicuna-13b",
-    "TheBloke/wizard-vicuna-13B-HF",
-    "Open-Orca/OpenOrca-Preview1-13B",
-    "TheBloke/h2ogpt-oasst1-512-30B-HF",
-    "TheBloke/Llama-2-13B-GPTQ",
-    "camel-ai/CAMEL-13B-Combined-Data",
-    "lmsys/vicuna-7b-v1.5",
-    "lmsys/vicuna-7b-v1.5-16k",
-    "lmsys/vicuna-7b-v1.5",
-    "ausboss/llama-13b-supercot",
-    "TheBloke/tulu-13B-fp16",
-    "NousResearch/Nous-Hermes-llama-2-7b",
-    "jlevin/guanaco-13b-llama-2",
-    "lmsys/vicuna-7b-v1.5-16k",
-    "dvruette/llama-13b-pretrained",
-    "nkpz/llama2-22b-daydreamer-v3",
-    "dvruette/llama-13b-pretrained-dropout",
-    "jondurbin/airoboros-l2-13b-2.1",
-    "LLMs/Stable-Vicuna-13B",
-    "64bits/LexPodLM-13B",
-    "lizhuang144/llama_mirror_13b_v1.0",
-    "TheBloke/stable-vicuna-13B-HF",
-    "zarakiquemparte/zaraxls-l2-7b",
-    "TheBloke/Llama-2-13B-GPTQ",
-    "Kiddyz/testlm-3",
-    "migtissera/Synthia-7B",
-    "zarakiquemparte/zarablend-l2-7b",
-    "mosaicml/mpt-30b-instruct",
-    "PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged",
-    "vonjack/Qwen-LLaMAfied-HFTok-7B-Chat",
-    "l3utterfly/llama2-7b-layla",
-    "Lajonbot/vicuna-7b-v1.5-PL-lora_unload",
-    "heegyu/LIMA-13b-hf",
-    "frank098/WizardLM_13B_juniper",
-    "ashercn97/manatee-7b",
-    "chavinlo/gpt4-x-alpaca",
-    "PocketDoc/Dans-PersonalityEngine-13b",
-    "ehartford/WizardLM-1.0-Uncensored-CodeLlama-34b",
-    "digitous/Alpacino13b",
-    "edor/Hermes-Platypus2-mini-7B",
-    "lvkaokao/llama2-7b-hf-chat-lora-v2",
-    "Kiddyz/testlm-1-1",
-    "Kiddyz/testlm",
-    "Kiddyz/testlm-1",
-    "Kiddyz/testlm2",
-    "radm/Philosophy-Platypus2-13b",
-    "aiplanet/effi-13b",
-    "Harshvir/Llama-2-7B-physics",
-    "YeungNLP/firefly-ziya-13b",
-    "LinkSoul/Chinese-Llama-2-7b",
-    "PeanutJar/LLaMa-2-PeanutButter_v10-7B",
-    "OpenBuddy/openbuddy-llama2-13b-v11-bf16",
-    "StudentLLM/Alpagasus-2-13B-QLoRA-pipeline",
-    "meta-llama/Llama-2-13b-hf",
-    "WizardLM/WizardCoder-Python-34B-V1.0",
-    "dvruette/llama-13b-pretrained-sft-epoch-1",
-    "camel-ai/CAMEL-13B-Role-Playing-Data",
-    "ziqingyang/chinese-llama-2-13b",
-    "rombodawg/LosslessMegaCoder-llama2-7b-mini",
-    "TheBloke/koala-13B-HF",
-    "lmsys/vicuna-7b-delta-v1.1",
-    "eachadea/vicuna-7b-1.1",
-    "Ejafa/vicuna_7B_vanilla_1.1",
-    "lvkaokao/llama2-7b-hf-chat-lora",
-    "OpenBuddy/openbuddy-atom-13b-v9-bf16",
-    "Norquinal/llama-2-7b-claude-chat-rp",
-    "Danielbrdz/Barcenas-7b",
-    "heegyu/WizardVicuna2-13b-hf",
-    "meta-llama/Llama-2-7b-chat-hf",
-    "PeanutJar/LLaMa-2-PeanutButter_v14-7B",
-    "PeanutJar/LLaMa-2-PeanutButter_v4-7B",
-    "davzoku/cria-llama2-7b-v1.3",
-    "OpenBuddy/openbuddy-atom-13b-v9-bf16",
-    "lvkaokao/llama2-7b-hf-instruction-lora",
-    "Tap-M/Luna-AI-Llama2-Uncensored",
-    "ehartford/Samantha-1.11-7b",
-    "WizardLM/WizardCoder-Python-34B-V1.0",
-    "TheBloke/Manticore-13B-Chat-Pyg-Guanaco-SuperHOT-8K-GPTQ",
-    "Mikael110/llama-2-7b-guanaco-fp16",
-    "garage-bAInd/Platypus2-7B",
-    "PeanutJar/LLaMa-2-PeanutButter_v18_B-7B",
-    "mosaicml/mpt-30b",
-    "garage-bAInd/Platypus2-7B",
-    "huggingface/llama-13b",
-    "dvruette/oasst-llama-13b-1000-steps",
-    "jordiclive/gpt4all-alpaca-oa-codealpaca-lora-13b",
-    "huggyllama/llama-13b",
-    "Voicelab/trurl-2-7b",
-    "TFLai/llama-13b-4bit-alpaca",
-    "gywy/llama2-13b-chinese-v2",
-    "lmsys/longchat-13b-16k",
-    "Aspik101/trurl-2-7b-pl-instruct_unload",
-    "WizardLM/WizardMath-7B-V1.0",
-    "Norquinal/llama-2-7b-claude-chat",
-    "TheTravellingEngineer/llama2-7b-chat-hf-dpo",
-    "open-llm-leaderboard/starchat-beta",
-    "joehuangx/spatial-vicuna-7b-v1.5-LoRA",
-    "conceptofmind/LLongMA-2-13b-16k",
-    "tianyil1/denas-llama2",
-    "lmsys/vicuna-7b-v1.3",
-    "conceptofmind/LLongMA-2-13b-16k",
-    "openchat/opencoderplus",
-    "ajibawa-2023/scarlett-7b",
-    "dhmeltzer/llama-7b-SFT_eli5_wiki65k_1024_r_64_alpha_16_merged",
-    "psyche/kollama2-7b-v2",
-    "heegyu/LIMA2-7b-hf",
-    "dhmeltzer/llama-7b-SFT-qlora-eli5-wiki_DPO_ds_RM_top_2_1024_r_64_alpha_16",
-    "abhishek/llama2guanacotest",
-    "jondurbin/airoboros-l2-7b-2.1",
-    "llama-anon/instruct-13b",
-    "FelixChao/vicuna-7B-physics",
-    "Aspik101/Llama-2-7b-hf-instruct-pl-lora_unload",
-    "shibing624/chinese-alpaca-plus-13b-hf",
-    "davzoku/cria-llama2-7b-v1.3_peft",
-    "quantumaikr/llama-2-7b-hf-guanaco-1k",
-    "togethercomputer/Llama-2-7B-32K-Instruct",
-    "sia-ai/llama-2-7b-1-percent-open-orca-1000-steps-v0",
-    "TheTravellingEngineer/llama2-7b-hf-guanaco",
-    "Lajonbot/Llama-2-7b-chat-hf-instruct-pl-lora_unload",
-    "jondurbin/airoboros-l2-7b-gpt4-1.4.1",
-    "wahaha1987/llama_7b_sharegpt94k_fastchat",
-    "FelixChao/vicuna-7B-chemical",
-    "TinyPixel/llama2-7b-oa",
-    "chaoyi-wu/MedLLaMA_13B",
-    "edor/Platypus2-mini-7B",
-    "RoversX/llama-2-7b-hf-small-shards-Samantha-V1-SFT",
-    "venkycs/llama-v2-7b-32kC-Security",
-    "psyche/kollama2-7b",
-    "Fredithefish/Guanaco-7B-Uncensored",
-    "TheTravellingEngineer/llama2-7b-chat-hf-guanaco",
-    "ehartford/WizardLM-13B-Uncensored",
-    "PocketDoc/Dans-CreepingSenseOfDoom",
-    "wenge-research/yayi-7b-llama2",
-    "georgesung/llama2_7b_chat_uncensored",
-    "TinyPixel/llama2-7b-instruct",
-    "quantumaikr/QuantumLM-7B",
-    "xzuyn/MedicWizard-7B",
-    "wenge-research/yayi-7b-llama2",
-    "TinyPixel/lima-test",
-    "elyza/ELYZA-japanese-Llama-2-7b-instruct",
-    "lgaalves/llama-2-7b-hf_open-platypus",
-    "ziqingyang/chinese-alpaca-2-7b",
-    "TehVenom/Pygmalion-Vicuna-1.1-7b",
-    "meta-llama/Llama-2-7b-hf",
-    "bongchoi/test-llama2-7b",
-    "TaylorAI/Flash-Llama-7B",
-    "TheTravellingEngineer/llama2-7b-chat-hf-v2",
-    "TheTravellingEngineer/llama2-7b-chat-hf-v4",
-    "kashif/stack-llama-2",
-    "PeanutJar/LLaMa-2-PeanutButter_v18_A-7B",
-    "ToolBench/ToolLLaMA-7b-LoRA",
-    "Monero/WizardLM-13b-OpenAssistant-Uncensored",
-    "TheTravellingEngineer/llama2-7b-chat-hf-v2",
-    "TheTravellingEngineer/llama2-7b-chat-hf-v4",
-    "mrm8488/llama-2-coder-7b",
-    "elyza/ELYZA-japanese-Llama-2-7b-fast-instruct",
-    "clibrain/Llama-2-7b-ft-instruct-es",
-    "medalpaca/medalpaca-7b",
-    "TheBloke/tulu-7B-fp16",
-    "OpenBuddy/openbuddy-openllama-13b-v7-fp16",
-    "TaylorAI/FLAN-Llama-7B-2_Llama2-7B-Flash_868_full_model",
-    "Aspik101/vicuna-7b-v1.3-instruct-pl-lora_unload",
-    "jondurbin/airoboros-l2-7b-gpt4-2.0",
-    "dhmeltzer/llama-7b-SFT_ds_eli5_1024_r_64_alpha_16_merged",
-    "GOAT-AI/GOAT-7B-Community",
-    "AtomEchoAI/AtomGPT_56k",
-    "julianweng/Llama-2-7b-chat-orcah",
-    "TehVenom/Pygmalion-13b-Merged",
-    "jondurbin/airoboros-7b-gpt4-1.1",
-    "dhmeltzer/llama-7b-SFT_ds_wiki65k_1024_r_64_alpha_16_merged",
-    "bofenghuang/vigogne-7b-chat",
-    "lmsys/longchat-7b-v1.5-32k",
-    "jondurbin/airoboros-l2-7b-gpt4-m2.0",
-    "synapsoft/Llama-2-7b-chat-hf-flan2022-1.2M",
-    "jondurbin/airoboros-7b-gpt4-1.4",
-    "Charlie911/vicuna-7b-v1.5-lora-mctaco",
-    "yihan6324/instructmining-platypus-15k",
-    "meta-llama/Llama-2-7b-hf",
-    "TheTravellingEngineer/llama2-7b-chat-hf-v3",
-    "quantumaikr/KoreanLM-hf",
-    "openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ckpt-hf",
-    "TheBloke/Llama-2-7B-GPTQ",
-    "TheBloke/Llama-2-7B-GPTQ",
-    "LLMs/AlpacaGPT4-7B-elina",
-    "ehartford/Wizard-Vicuna-7B-Uncensored",
-    "TheBloke/Wizard-Vicuna-7B-Uncensored-HF",
-    "TheTravellingEngineer/llama2-7b-chat-hf-v3",
-    "golaxy/gowizardlm",
-    "ehartford/dolphin-llama2-7b",
-    "CHIH-HUNG/llama-2-7b-dolphin_10w-test",
-    "mncai/chatdoctor",
-    "psyche/kollama2-7b-v3",
-    "jondurbin/airoboros-7b-gpt4",
-    "jondurbin/airoboros-7b",
-    "TheBloke/airoboros-7b-gpt4-fp16",
-    "mosaicml/mpt-7b-8k-chat",
-    "elyza/ELYZA-japanese-Llama-2-7b",
-    "bofenghuang/vigogne-7b-instruct",
-    "jxhong/CAlign-alpaca-7b",
-    "golaxy/goims",
-    "jondurbin/airoboros-7b-gpt4-1.2",
-    "jphme/orca_mini_v2_ger_7b",
-    "psmathur/orca_mini_v2_7b",
-    "notstoic/PygmalionCoT-7b",
-    "golaxy/gogpt2-13b",
-    "golaxy/gogpt2-13b-chat",
-    "togethercomputer/LLaMA-2-7B-32K",
-    "TheBloke/wizardLM-7B-HF",
-    "keyfan/vicuna-chinese-replication-v1.1",
-    "golaxy/gogpt2-7b",
-    "aiplanet/effi-7b",
-    "arver/llama7b-qlora",
-    "titan087/OpenLlama13B-Guanaco",
-    "chavinlo/alpaca-native",
-    "project-baize/baize-healthcare-lora-7B",
-    "AlpinDale/pygmalion-instruct",
-    "openlm-research/open_llama_13b",
-    "jondurbin/airoboros-7b-gpt4-1.3",
-    "elyza/ELYZA-japanese-Llama-2-7b-fast",
-    "jondurbin/airoboros-gpt-3.5-turbo-100k-7b",
-    "uukuguy/speechless-codellama-orca-13b",
-    "bigcode/starcoderplus",
-    "TheBloke/guanaco-7B-HF",
-    "Neko-Institute-of-Science/metharme-7b",
-    "TigerResearch/tigerbot-7b-base",
-    "golaxy/gogpt-7b",
-    "togethercomputer/LLaMA-2-7B-32K",
-    "yhyhy3/open_llama_7b_v2_med_instruct",
-    "ajibawa-2023/carl-7b",
-    "stabilityai/stablelm-base-alpha-7b-v2",
-    "conceptofmind/LLongMA-2-7b-16k",
-    "TehVenom/Pygmalion_AlpacaLora-7b",
-    "jondurbin/airoboros-7b-gpt4-1.4.1-qlora",
-    "wannaphong/openthaigpt-0.1.0-beta-full-model_for_open_llm_leaderboard",
-    "ausboss/llama7b-wizardlm-unfiltered",
-    "project-baize/baize-v2-7b",
-    "LMFlow/Robin-v2",
-    "HanningZhang/Robin-v2",
-    "LMFlow/Robin-7b-v2",
-    "OptimalScale/robin-7b-v2-delta",
-    "uukuguy/speechless-codellama-platypus-13b",
-    "jerryjalapeno/nart-100k-7b",
-    "wenge-research/yayi-13b-llama2",
-    "fireballoon/baichuan-vicuna-chinese-7b",
-    "jlevin/guanaco-unchained-llama-2-7b",
-    "csitfun/llama-7b-logicot",
-    "DevaMalla/llama7b_alpaca_1gpu_bf16",
-    "WeOpenML/PandaLM-Alpaca-7B-v1",
-    "illuin/test-custom-llama",
-    "yeontaek/WizardCoder-Python-13B-LoRa",
-    "ashercn97/giraffe-7b",
-    "mosaicml/mpt-7b-chat",
-    "abhishek/autotrain-llama-alpaca-peft-52508123785",
-    "Neko-Institute-of-Science/pygmalion-7b",
-    "TFLai/llama-7b-4bit-alpaca",
-    "huggingface/llama-7b",
-    "TheBloke/Planner-7B-fp16",
-    "shibing624/chinese-llama-plus-13b-hf",
-    "AGI-inc/lora_moe_7b_baseline",
-    "DevaMalla/llama-base-7b",
-    "AGI-inc/lora_moe_7b",
-    "togethercomputer/GPT-JT-6B-v0",
-    "ehartford/WizardLM-7B-Uncensored",
-    "shibing624/chinese-alpaca-plus-7b-hf",
-    "beomi/llama-2-ko-7b",
-    "mosaicml/mpt-7b-8k-instruct",
-    "Enno-Ai/ennodata-7b",
-    "mosaicml/mpt-7b-instruct",
-    "facebook/opt-iml-max-30b",
-    "WeOpenML/Alpaca-7B-v1",
-    "TheBloke/Project-Baize-v2-7B-GPTQ",
-    "codellama/CodeLlama-13b-Instruct-hf",
-    "TheBloke/CodeLlama-13B-Instruct-fp16",
-    "facebook/galactica-30b",
-    "FreedomIntelligence/phoenix-inst-chat-7b",
-    "openlm-research/open_llama_7b_v2",
-    "GeorgiaTechResearchInstitute/galpaca-30b",
-    "THUDM/chatglm2-6b",
-    "togethercomputer/GPT-JT-6B-v1",
-    "TheBloke/koala-7B-HF",
-    "nathan0/mpt_delta_tuned_model_v3",
-    "nathan0/mpt_delta_tuned_model_v2",
-    "GeorgiaTechResearchInstitute/galpaca-30b",
-    "JosephusCheung/Guanaco",
-    "shareAI/CodeLLaMA-chat-13b-Chinese",
-    "TigerResearch/tigerbot-7b-sft",
-    "Writer/InstructPalmyra-20b",
-    "OpenAssistant/codellama-13b-oasst-sft-v10",
-    "bigscience/bloomz-7b1-mt",
-    "nathan0/mpt_delta_tuned_model_v3",
-    "VMware/open-llama-7b-open-instruct",
-    "baichuan-inc/Baichuan-7B",
-    "anas-awadalla/mpt-7b",
-    "mosaicml/mpt-7b",
-    "bigscience/bloomz-7b1",
-    "ziqingyang/chinese-llama-2-7b",
-    "OpenAssistant/codellama-13b-oasst-sft-v10",
-    "wenge-research/yayi-7b",
-    "tiiuae/falcon-7b",
-    "togethercomputer/RedPajama-INCITE-Instruct-7B-v0.1",
-    "togethercomputer/RedPajama-INCITE-7B-Instruct",
-    "TheBloke/landmark-attention-llama7b-fp16",
-    "togethercomputer/GPT-JT-Moderation-6B",
-    "h2oai/h2ogpt-gm-oasst1-en-1024-20b",
-    "dvruette/gpt-neox-20b-full-precision",
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-    "porkorbeef/Llama-2-13b-12_153950",
-    "huggingtweets/bladeecity-jerma985",
-    "KnutJaegersberg/megatron-GPT-2-345m-EvolInstruct",
-    "bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16",
-    "microsoft/DialoGPT-small",
-    "Corianas/590m",
-    "facebook/xglm-564M",
-    "EleutherAI/gpt-neo-125m",
-    "EleutherAI/pythia-160m-deduped",
-    "klosax/pythia-160m-deduped-step92k-193bt",
-    "MBZUAI/lamini-neo-125m",
-    "bigcode/tiny_starcoder_py",
-    "concedo/OPT-19M-ChatSalad",
-    "anton-l/gpt-j-tiny-random",
-    "grantprice/Cerebras-GPT-590M-finetuned-DND",
-    "deepnight-research/zsc-text",
-    "WangZeJun/bloom-820m-chat",
-    "cerebras/Cerebras-GPT-256M",
-    "ai-forever/rugpt3large_based_on_gpt2",
-    "alibidaran/medical_transcription_generator",
-    "Deci/DeciCoder-1b",
-    "microsoft/DialoGPT-medium",
-    "ogimgio/gpt-neo-125m-neurallinguisticpioneers",
-    "open-llm-leaderboard/bloom-560m-4bit-alpaca-auto-eval-adapter-applied",
-    "BreadAi/gpt-YA-1-1_160M",
-    "microsoft/DialoGPT-large",
-    "facebook/opt-125m",
-    "huggingtweets/jerma985",
-    "Locutusque/gpt2-conversational-or-qa",
-    "concedo/Pythia-70M-ChatSalad",
-    "roneneldan/TinyStories-1M",
-    "BreadAi/DiscordPy",
-    "bigcode/gpt_bigcode-santacoder",
-    "Tincando/fiction_story_generator",
-    "klosax/pythia-70m-deduped-step44k-92bt",
-    "Quake24/easyTermsSummerizer",
-    "BreadAi/gpt-YA-1-1_70M",
-    "EleutherAI/pythia-160m",
-    "euclaise/gpt-neox-122m-minipile-digits",
-    "MBZUAI/lamini-cerebras-590m",
-    "nicholasKluge/Aira-124M",
-    "MayaPH/FinOPT-Washington",
-    "cyberagent/open-calm-large",
-    "BreadAi/StoryPy",
-    "EleutherAI/pythia-70m",
-    "BreadAi/gpt-Youtube",
-    "roneneldan/TinyStories-33M",
-    "EleutherAI/pythia-70m-deduped",
-    "lgaalves/gpt2_guanaco-dolly-platypus",
-    "Corianas/Quokka_590m",
-    "lgaalves/gpt2_platypus-dolly-guanaco",
-    "cyberagent/open-calm-7b",
-    "RWKV/rwkv-4-169m-pile",
-    "gpt2",
-    "roneneldan/TinyStories-28M",
-    "lgaalves/gpt2_open-platypus",
-    "gpt2",
-    "SaylorTwift/gpt2_test",
-    "roneneldan/TinyStories-3M",
-    "nthngdy/pythia-owt2-70m-50k",
-    "Corianas/256_5epoch",
-    "roneneldan/TinyStories-8M",
-    "lgaalves/gpt2-dolly",
-    "nthngdy/pythia-owt2-70m-100k",
-    "aisquared/dlite-v2-124m",
-    "mncai/SGPT-1.3B-insurance-epoch10",
-    "huggingtweets/gladosystem",
-    "abhiramtirumala/DialoGPT-sarcastic-medium",
-    "MBZUAI/lamini-cerebras-256m",
-    "cerebras/Cerebras-GPT-111M",
-    "uberkie/metharme-1.3b-finetuned",
-    "MBZUAI/lamini-cerebras-111m",
-    "psyche/kogpt",
-    "Corianas/Quokka_256m",
-    "vicgalle/gpt2-alpaca-gpt4",
-    "aisquared/dlite-v1-124m",
-    "Mikivis/xuanxuan",
-    "MBZUAI/LaMini-GPT-124M",
-    "vicgalle/gpt2-alpaca",
-    "huashiyiqike/testmodel",
-    "Corianas/111m",
-    "baseline",
-]

update_dynamic.py

@@ -1,4 +0,0 @@
-from src.scripts.update_all_request_files import update_dynamic_files
-
-if __name__ == "__main__":
-    update_dynamic_files()