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Run notebook end-to-end with GTX 3090/4090 #5

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Run notebook end-to-end with GTX 3090/4090 #5

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46 changes: 45 additions & 1 deletion lm-hackers.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -1256,6 +1256,33 @@
"tokr.batch_decode(res)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6e769bff",
"metadata": {},
"outputs": [],
"source": [
"# Funciton to clean memory before using new model\n",
"import gc\n",
"\n",
"# Conveninence function\n",
"def get_cuda_memory_reserved_gb():\n",
" return torch.cuda.memory_reserved()/1_000_000_000\n",
" \n",
"def free_memory(verbose=False):\n",
" gc.collect() \n",
" torch.cuda.empty_cache()\n",
" if verbose:\n",
" print(f'ℹ️ CUDA MEMORY RESERVED AFTER free_memory: {get_cuda_memory_reserved_gb()} GB') \n",
"\n",
"# Let's see how it works:\n",
"print(f'BREFORE free_memory: {get_cuda_memory_reserved_gb()} GB')\n",
"del model # Delete model to be able to free memory\n",
"print(f'BREFORE free_memory after deleting `model`: {get_cuda_memory_reserved_gb()} GB')\n",
"free_memory(verbose=True)"
]
},
{
"cell_type": "code",
"execution_count": 28,
Expand Down Expand Up @@ -1321,7 +1348,9 @@
"metadata": {},
"outputs": [],
"source": [
"model = AutoModelForCausalLM.from_pretrained('TheBloke/Llama-2-7b-Chat-GPTQ', device_map=0, torch_dtype=torch.float16)"
"del model; free_memory(True); # Cleanup before loading new one\n",
"model = AutoModelForCausalLM.from_pretrained('TheBloke/Llama-2-7b-Chat-GPTQ', device_map=0, torch_dtype=torch.float16)\n",
"print(f'CUDA MEMORY RESERVED AFTER LOADING model: {get_cuda_memory_reserved_gb()} GB')"
]
},
{
Expand Down Expand Up @@ -1364,6 +1393,7 @@
"metadata": {},
"outputs": [],
"source": [
"del model; free_memory();\n",
"mn = 'TheBloke/Llama-2-13B-GPTQ'\n",
"model = AutoModelForCausalLM.from_pretrained(mn, device_map=0, torch_dtype=torch.float16)"
]
Expand Down Expand Up @@ -1465,6 +1495,7 @@
}
],
"source": [
"del model; free_memory();\n",
"mn = \"stabilityai/StableBeluga-7B\"\n",
"model = AutoModelForCausalLM.from_pretrained(mn, device_map=0, torch_dtype=torch.bfloat16)"
]
Expand Down Expand Up @@ -1535,6 +1566,7 @@
"metadata": {},
"outputs": [],
"source": [
"del model; free_memory();\n",
"mn = 'TheBloke/OpenOrca-Platypus2-13B-GPTQ'\n",
"model = AutoModelForCausalLM.from_pretrained(mn, device_map=0, torch_dtype=torch.float16)"
]
Expand Down Expand Up @@ -2069,6 +2101,7 @@
"metadata": {},
"outputs": [],
"source": [
"del model; free_memory();\n",
"model = AutoModelForCausalLM.from_pretrained('meta-llama/Llama-2-7b-hf',\n",
" torch_dtype=torch.bfloat16, device_map=0)\n",
"model = PeftModel.from_pretrained(model, ax_model)\n",
Expand Down Expand Up @@ -2119,6 +2152,17 @@
"print(tokr.batch_decode(res)[0])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b17c43c0",
"metadata": {},
"outputs": [],
"source": [
"# Finally release model and memory\n",
"del model; free_memory(True);"
]
},
{
"cell_type": "markdown",
"id": "991d4a93-dab8-4777-82d2-301c494deba0",
Expand Down