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{
"cells": [
{
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"source": [
"# Model Init\n",
"\n",
"Test that the model init code, runs without issues\n",
"\n",
"**L6-D512 model with**\n",
"- Layer count: 6\n",
"- Embed size: 512"
]
},
{
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"tags": []
},
"source": [
"## Preparing the init model and test dataset"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "54684bc2",
"metadata": {
"execution": {
"iopub.execute_input": "2023-08-23T19:20:40.360445Z",
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"outputs": [],
"source": [
"# First lets setup the various directories\n",
"!mkdir -p ../../model/\n",
"!mkdir -p ../../datapath/\n",
"!mkdir -p ../../checkpoint/"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "80da2afe",
"metadata": {
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{
"name": "stdout",
"output_type": "stream",
"text": [
"[2023-08-23 19:20:45,786] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[RWKV.model] Running RWKV model using 'torch-jit' with torch '2.0.1+cu118'\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"---- Initializing model ----\r\n",
"No of layers: 6\r\n",
"Embedding size: 512\r\n",
"Output model path: ../model/L6-D512-neox-init.pth\r\n",
"Vocab size: 50277\r\n",
"Note: this process takes a significant time (and ram) for large models\r\n",
"---- ----- ----\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using /root/.cache/torch_extensions/py310_cu118 as PyTorch extensions root...\r\n",
"Detected CUDA files, patching ldflags\r\n",
"Emitting ninja build file /root/.cache/torch_extensions/py310_cu118/wkv_1_bf16/build.ninja...\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Building extension module wkv_1_bf16...\r\n",
"Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"ninja: no work to do.\r\n",
"Loading extension module wkv_1_bf16...\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[RWKV.model]: Finished initial model load\r\n",
"50277 512 -0.0001 emb.weight\r\n"
]
},
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"text": [
"512 512 0 blocks.0.att.key.weight\r\n",
"512 512 1.0 blocks.0.att.value.weight\r\n",
"512 512 0 blocks.0.att.receptance.weight\r\n",
"512 512 0 blocks.0.att.output.weight\r\n",
"2048 512 1.0 blocks.0.ffn.key.weight\r\n"
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"512 512 0 blocks.0.ffn.receptance.weight\r\n",
"512 2048 0 blocks.0.ffn.value.weight\r\n",
"512 512 0 blocks.1.att.key.weight\r\n",
"512 512 1.0 blocks.1.att.value.weight\r\n"
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"512 512 0 blocks.1.att.receptance.weight\r\n",
"512 512 0 blocks.1.att.output.weight\r\n",
"2048 512 1.0 blocks.1.ffn.key.weight\r\n"
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"512 512 0 blocks.1.ffn.receptance.weight\r\n",
"512 2048 0 blocks.1.ffn.value.weight\r\n",
"512 512 0 blocks.2.att.key.weight\r\n",
"512 512 1.0 blocks.2.att.value.weight\r\n",
"512 512 0 blocks.2.att.receptance.weight\r\n",
"512 512 0 blocks.2.att.output.weight\r\n",
"2048 512 1.0 blocks.2.ffn.key.weight\r\n"
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"512 512 0 blocks.2.ffn.receptance.weight\r\n",
"512 2048 0 blocks.2.ffn.value.weight\r\n",
"512 512 0 blocks.3.att.key.weight\r\n",
"512 512 1.0 blocks.3.att.value.weight\r\n"
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"512 512 0 blocks.3.att.receptance.weight\r\n",
"512 512 0 blocks.3.att.output.weight\r\n",
"2048 512 1.0 blocks.3.ffn.key.weight\r\n",
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"512 2048 0 blocks.3.ffn.value.weight\r\n"
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"text": [
"512 512 0 blocks.4.att.key.weight\r\n",
"512 512 1.0 blocks.4.att.value.weight\r\n",
"512 512 0 blocks.4.att.receptance.weight\r\n",
"512 512 0 blocks.4.att.output.weight\r\n",
"2048 512 1.0 blocks.4.ffn.key.weight\r\n"
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"name": "stdout",
"output_type": "stream",
"text": [
"512 512 0 blocks.4.ffn.receptance.weight\r\n",
"512 2048 0 blocks.4.ffn.value.weight\r\n",
"512 512 0 blocks.5.att.key.weight\r\n",
"512 512 1.0 blocks.5.att.value.weight\r\n",
"512 512 0 blocks.5.att.receptance.weight\r\n",
"512 512 0 blocks.5.att.output.weight\r\n",
"2048 512 1.0 blocks.5.ffn.key.weight\r\n"
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"text": [
"512 512 0 blocks.5.ffn.receptance.weight\r\n",
"512 2048 0 blocks.5.ffn.value.weight\r\n",
"50277 512 0.5 head.weight\r\n"
]
}
],
"source": [
"# Lets initialized the L6-D512 model with the init_model.py code\n",
"!cd ../../RWKV-v4neo/ && python3 init_model.py --n_layer 6 --n_embd 512 --vocab_size neox ../model/L6-D512-neox-init.pth"
]
}
],
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