cookbook petals

This commit is contained in:
ishaan-jaff 2023-09-20 09:34:33 -07:00
parent b81f8d2ddd
commit daf76e900f

View file

@ -1,375 +1,14 @@
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"attachments": {},
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"source": [
"# Using LiteLLM with Petals"
],
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"source": [
"# Using LiteLLM with Petals"
]
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@ -379,39 +18,34 @@
},
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"!pip install litellm # 0.1.702 and upwards"
"!pip install litellm # 0.1.715 and upwards"
]
},
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"source": [
"# install petals\n",
"!pip install git+https://github.com/bigscience-workshop/petals"
],
"execution_count": null,
"metadata": {
"id": "5Id2QKwOEH8X"
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"execution_count": null,
"outputs": []
"outputs": [],
"source": [
"# install petals\n",
"!pip install git+https://github.com/bigscience-workshop/petals"
]
},
{
"attachments": {},
"cell_type": "markdown",
"source": [
"## petals-team/StableBeluga2"
],
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}
},
"source": [
"## petals-team/StableBeluga2"
]
},
{
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"source": [
"from litellm import completion\n",
"\n",
"response = completion(model=\"petals/petals-team/StableBeluga2\", messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}], max_tokens=50)\n",
"\n",
"print(response)"
],
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -419,11 +53,10 @@
"id": "tIHcEHdSDqju",
"outputId": "485dbf54-395c-433a-bbf4-8eb70a9fa624"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
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"text": [
"You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. If you see this, DO NOT PANIC! This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565\n",
"Sep 19 18:39:50.634 [\u001b[1m\u001b[34mINFO\u001b[0m] Make sure you follow the LLaMA's terms of use: https://bit.ly/llama2-license for LLaMA 2, https://bit.ly/llama-license for LLaMA 1\n",
@ -432,8 +65,8 @@
]
},
{
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"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"object\": \"chat.completion\",\n",
@ -459,24 +92,28 @@
"}\n"
]
}
],
"source": [
"from litellm import completion\n",
"\n",
"response = completion(model=\"petals/petals-team/StableBeluga2\", messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}], max_tokens=50)\n",
"\n",
"print(response)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"source": [
"## huggyllama/llama-65b"
],
"metadata": {
"id": "J8DubRnHvh_j"
}
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"source": [
"## huggyllama/llama-65b"
]
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"source": [
"response = completion(model=\"petals/huggyllama/llama-65b\", messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}], temperature=0.2, max_tokens=10)\n",
"\n",
"print(response)"
],
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -498,33 +135,32 @@
"id": "IlTCJwDsNvgF",
"outputId": "2e84d125-d982-48ed-8a92-6ca438a50d0c"
},
"execution_count": 4,
"outputs": [
{
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"name": "stderr",
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"text": [
"Sep 19 18:41:37.912 [\u001b[1m\u001b[34mINFO\u001b[0m] Make sure you follow the LLaMA's terms of use: https://bit.ly/llama2-license for LLaMA 2, https://bit.ly/llama-license for LLaMA 1\n",
"Sep 19 18:41:37.914 [\u001b[1m\u001b[34mINFO\u001b[0m] Using DHT prefix: llama-65b-hf\n"
]
},
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"version_minor": 0
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"Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]"
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"/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:362: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.2` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.\n",
" warnings.warn(\n",
@ -532,8 +168,8 @@
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"}\n"
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"response = completion(model=\"petals/huggyllama/llama-65b\", messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}], temperature=0.2, max_tokens=10)\n",
"\n",
"print(response)"
]
}
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