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updated notebooks #543

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13 changes: 6 additions & 7 deletions notebooks/QEfficientGPT2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,9 @@
"outputs": [],
"source": [
"# Initiate the Original Transformer model\n",
"# Initiate the tokenizer for transformers library\n",
"from transformers import AutoTokenizer\n",
"\n",
"from QEfficient import QEFFAutoModelForCausalLM as AutoModelForCausalLM\n",
"\n",
"# Please uncomment and use appropriate Cache Directory for transformers, in case you don't want to use default ~/.cache dir.\n",
Expand Down Expand Up @@ -92,11 +95,7 @@
"# Compile the model for provided compilation arguments\n",
"# Please use platform SDK to Check num_cores for your card.\n",
"\n",
"qeff_model.compile(\n",
" num_cores=14,\n",
" mxfp6=True,\n",
" device_group=[0],\n",
")"
"qeff_model.compile(num_cores=14, mxfp6_matmul=True)"
]
},
{
Expand All @@ -116,8 +115,8 @@
"source": [
"# post compilation, we can print the latency stats for the kv models, We provide API to print token and Latency stats on Cloud AI 100\n",
"# We need the compiled prefill and decode qpc to compute the token generated, This is based on Greedy Sampling Approach\n",
"\n",
"qeff_model.generate(prompts=[\"My name is\"])"
"tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
"qeff_model.generate(prompts=[\"My name is\"], tokenizer=tokenizer)"
]
}
],
Expand Down
11 changes: 5 additions & 6 deletions notebooks/QEfficientMPT.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,8 @@
"outputs": [],
"source": [
"# Initiate the Original Transformer model\n",
"# Initiate the tokenizer for transformers library\n",
"from transformers import AutoTokenizer\n",
"\n",
"from QEfficient import QEFFAutoModelForCausalLM as AutoModelForCausalLM\n",
"\n",
Expand Down Expand Up @@ -91,11 +93,7 @@
"# Compile the model for provided compilation arguments\n",
"# Please use platform SDK to Check num_cores for your card.\n",
"\n",
"qeff_model.compile(\n",
" num_cores=14,\n",
" mxfp6=True,\n",
" device_group=[0],\n",
")"
"qeff_model.compile(num_cores=14, mxfp6_matmul=True)"
]
},
{
Expand All @@ -116,7 +114,8 @@
"# post compilation, we can print the latency stats for the kv models, We provide API to print token and Latency stats on Cloud AI 100\n",
"# We need the compiled prefill and decode qpc to compute the token generated, This is based on Greedy Sampling Approach\n",
"\n",
"qeff_model.generate(prompts=[\"My name is\"])"
"tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
"qeff_model.generate(prompts=[\"My name is\"], tokenizer=tokenizer)"
]
}
],
Expand Down
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