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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/haoyang/miniconda3/envs/llm_reason/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"from src.submission.check_validity import is_model_on_hub\n",
"from huggingface_hub import HfApi\n",
"import re"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"torch.bfloat16"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"still_on_hub, _, model_config = is_model_on_hub(\n",
" \"01-ai/Yi-34B-Chat\", \"main\", trust_remote_code=True, test_tokenizer=False\n",
")\n",
"getattr(model_config, \"torch_dtype\", None)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Yi-34b is on hub: True\n",
"Yi-34b config: torch.bfloat16\n",
"Yi-34b size: 34.389\n",
"Mistral-7b is on hub: True\n",
"Mistral-7b config: torch.bfloat16\n",
"Mistral-7b size: 7.242\n",
"Vicuna-13b is on hub: True\n",
"Vicuna-13b config: torch.float16\n",
"Vicuna-13b size: 13.0\n",
"Phi-1.5 is on hub: True\n",
"Phi-1.5 config: torch.float16\n",
"Phi-1.5 size: N/A\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/haoyang/.cache/huggingface/modules/transformers_modules/mosaicml/mpt-30b-instruct/56bcbea5361d8381c297ca51c02ee5b6f0415cb4/configuration_mpt.py:97: UserWarning: alibi is turned on, setting `learned_pos_emb` to `False.`\n",
" warnings.warn(f'alibi is turned on, setting `learned_pos_emb` to `False.`')\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"MPT-30b is on hub: True\n",
"MPT-30b config: torch.bfloat16\n",
"MPT-30b size: 30.0\n",
"Phi-2 is on hub: True\n",
"Phi-2 config: torch.float16\n",
"Phi-2 size: 2.78\n",
"Qwen-14b is on hub: True\n",
"Qwen-14b config: None\n",
"Qwen-14b size: 14.167\n"
]
}
],
"source": [
"open_models = {\n",
" \"Yi-34b\": \"01-ai/Yi-34B-Chat\",\n",
" \"Mistral-7b\": \"mistralai/Mistral-7B-Instruct-v0.1\",\n",
" \"Vicuna-13b\": \"lmsys/vicuna-13b-v1.3\",\n",
" \"Phi-1.5\": \"microsoft/phi-1_5\",\n",
" \"MPT-30b\": \"mosaicml/mpt-30b-instruct\",\n",
" \"Phi-2\": \"microsoft/phi-2\",\n",
" \"Qwen-14b\": \"Qwen/Qwen-14B-Chat\"\n",
"}\n",
"\n",
"api = HfApi()\n",
"size_pattern = size_pattern = re.compile(r\"(\\d\\.)?\\d+(b|m)\")\n",
"\n",
"new_params = {}\n",
"\n",
"for model_name, model_id in open_models.items():\n",
" still_on_hub, _, model_config = is_model_on_hub(\n",
" model_id, \"main\", trust_remote_code=True, test_tokenizer=False\n",
" )\n",
" precision = str(getattr(model_config, \"torch_dtype\", None))\n",
"\n",
" print(f\"{model_name} is on hub: {still_on_hub}\")\n",
" print(f\"{model_name} config: {precision}\")\n",
"\n",
" model_info = api.model_info(repo_id=model_id, revision=\"main\")\n",
" try:\n",
" model_size = round(model_info.safetensors[\"total\"] / 1e9, 3)\n",
" except (AttributeError, TypeError):\n",
" try:\n",
" size_match = re.search(size_pattern, model_info.modelId.lower())\n",
" model_size = size_match.group(0)\n",
" model_size = round(float(model_size[:-1]) if model_size[-1] == \"b\" else float(model_size[:-1]) / 1e3, 3)\n",
" except AttributeError:\n",
" model_size = \"N/A\"\n",
" print(f\"{model_name} size: {model_size}\")\n",
" new_params[model_name] = (precision, model_size)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'Yi-34b': ('torch.bfloat16', 34.389),\n",
" 'Mistral-7b': ('torch.bfloat16', 7.242),\n",
" 'Vicuna-13b': ('torch.float16', 13.0),\n",
" 'Phi-1.5': ('torch.float16', 'N/A'),\n",
" 'MPT-30b': ('torch.bfloat16', 30.0),\n",
" 'Phi-2': ('torch.float16', 2.78),\n",
" 'Qwen-14b': ('None', 14.167)}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_params"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "llm_reason",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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