Instructions to use AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16")
model = AutoModelForCausalLM.from_pretrained("AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16

SGLang

How to use AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16 with Docker Model Runner:
```
docker model run hf.co/AIFunOver/Llama-3.2-3B-Instruct-openvino-fp16
```

Llama-3.2-3B-Instruct-openvino-fp16 / openvino_tokenizer.xml

AIFunOver

Upload openvino_tokenizer.xml with huggingface_hub

cd4dedc verified almost 2 years ago

Raw

History Blame Contribute Delete

27.7 kB

	<?xml version="1.0"?>
	<net name="tokenizer" version="11">
	<layers>
	<layer id="0" name="Parameter_432651" type="Parameter" version="opset1">
	<data shape="?" element_type="string" />
	<output>
	<port id="0" precision="STRING" names="Parameter_432651">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="1" name="Constant_432749" type="Const" version="opset1">
	<data element_type="i32" shape="" offset="0" size="4" />
	<output>
	<port id="0" precision="I32" />
	</output>
	</layer>
	<layer id="2" name="Constant_432750" type="Const" version="opset1">
	<data element_type="i32" shape="" offset="4" size="4" />
	<output>
	<port id="0" precision="I32" />
	</output>
	</layer>
	<layer id="3" name="Constant_432751" type="Const" version="opset1">
	<data element_type="i32" shape="1" offset="8" size="4" />
	<output>
	<port id="0" precision="I32">
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="4" name="Constant_432657" type="Const" version="opset1">
	<data element_type="i64" shape="" offset="12" size="8" />
	<output>
	<port id="0" precision="I64" />
	</output>
	</layer>
	<layer id="5" name="StringTensorUnpack_432652" type="StringTensorUnpack" version="extension">
	<data mode="begins_ends" />
	<input>
	<port id="0" precision="STRING">
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="6" name="ShapeOf_432653" type="ShapeOf" version="opset3">
	<data output_type="i64" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I64">
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="7" name="Constant_432654" type="Const" version="opset1">
	<data element_type="i64" shape="" offset="12" size="8" />
	<output>
	<port id="0" precision="I64" />
	</output>
	</layer>
	<layer id="8" name="Constant_432655" type="Const" version="opset1">
	<data element_type="i64" shape="" offset="12" size="8" />
	<output>
	<port id="0" precision="I64" />
	</output>
	</layer>
	<layer id="9" name="Gather_432656" type="Gather" version="opset8">
	<data batch_dims="0" />
	<input>
	<port id="0" precision="I64">
	<dim>1</dim>
	</port>
	<port id="1" precision="I64" />
	<port id="2" precision="I64" />
	</input>
	<output>
	<port id="3" precision="I64" />
	</output>
	</layer>
	<layer id="10" name="Constant_432658" type="Const" version="opset1">
	<data element_type="i64" shape="" offset="20" size="8" />
	<output>
	<port id="0" precision="I64" />
	</output>
	</layer>
	<layer id="11" name="Range_432659" type="Range" version="opset4">
	<data output_type="i32" />
	<input>
	<port id="0" precision="I64" />
	<port id="1" precision="I64" />
	<port id="2" precision="I64" />
	</input>
	<output>
	<port id="3" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="12" name="Constant_432660" type="Const" version="opset1">
	<data element_type="i64" shape="" offset="20" size="8" />
	<output>
	<port id="0" precision="I64" />
	</output>
	</layer>
	<layer id="13" name="Constant_432661" type="Const" version="opset1">
	<data element_type="i64" shape="" offset="20" size="8" />
	<output>
	<port id="0" precision="I64" />
	</output>
	</layer>
	<layer id="14" name="Add_432662" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="I64" />
	<port id="1" precision="I64" />
	</input>
	<output>
	<port id="2" precision="I64" />
	</output>
	</layer>
	<layer id="15" name="Constant_432663" type="Const" version="opset1">
	<data element_type="i64" shape="" offset="20" size="8" />
	<output>
	<port id="0" precision="I64" />
	</output>
	</layer>
	<layer id="16" name="Range_432664" type="Range" version="opset4">
	<data output_type="i32" />
	<input>
	<port id="0" precision="I64" />
	<port id="1" precision="I64" />
	<port id="2" precision="I64" />
	</input>
	<output>
	<port id="3" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="17" name="Constant_432726" type="Const" version="opset1">
	<data element_type="u8" shape="9248" offset="28" size="9248" />
	<output>
	<port id="0" precision="U8">
	<dim>9248</dim>
	</port>
	</output>
	</layer>
	<layer id="18" name="SpecialTokensSplit_432727" type="SpecialTokensSplit" version="extension">
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="4" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="5" precision="U8">
	<dim>9248</dim>
	</port>
	</input>
	<output>
	<port id="6" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="7" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="8" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="9" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="10" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="11" precision="BOOL">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="19" name="Constant_432729" type="Const" version="opset1">
	<data element_type="u8" shape="115" offset="9276" size="115" />
	<output>
	<port id="0" precision="U8">
	<dim>115</dim>
	</port>
	</output>
	</layer>
	<layer id="20" name="RegexSplit_432730" type="RegexSplit" version="extension">
	<data behaviour="isolate" invert="false" max_splits="-1" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="4" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="5" precision="BOOL">
	<dim>-1</dim>
	</port>
	<port id="6" precision="U8">
	<dim>115</dim>
	</port>
	</input>
	<output>
	<port id="7" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="8" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="9" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="10" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="11" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="12" precision="BOOL">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="21" name="Constant_432732" type="Const" version="opset1">
	<data element_type="u8" shape="1351800" offset="9391" size="1351800" />
	<output>
	<port id="0" precision="U8">
	<dim>1351800</dim>
	</port>
	</output>
	</layer>
	<layer id="22" name="StringTensorUnpack_432733" type="StringTensorUnpack" version="extension">
	<data mode="begins_ends" />
	<input>
	<port id="0" precision="U8">
	<dim>1351800</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="23" name="Constant_432738" type="Const" version="opset1">
	<data element_type="u8" shape="2114111" offset="1361191" size="2114111" />
	<output>
	<port id="0" precision="U8">
	<dim>2114111</dim>
	</port>
	</output>
	</layer>
	<layer id="24" name="StringTensorUnpack_432739" type="StringTensorUnpack" version="extension">
	<data mode="begins_ends" />
	<input>
	<port id="0" precision="U8">
	<dim>2114111</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="25" name="Constant_432741" type="Const" version="opset1">
	<data element_type="u8" shape="2157314" offset="3475302" size="2157314" />
	<output>
	<port id="0" precision="U8">
	<dim>2157314</dim>
	</port>
	</output>
	</layer>
	<layer id="26" name="StringTensorUnpack_432742" type="StringTensorUnpack" version="extension">
	<data mode="begins_ends" />
	<input>
	<port id="0" precision="U8">
	<dim>2157314</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="27" name="Constant_432735" type="Const" version="opset1">
	<data element_type="u8" shape="8489" offset="5632616" size="8489" />
	<output>
	<port id="0" precision="U8">
	<dim>8489</dim>
	</port>
	</output>
	</layer>
	<layer id="28" name="StringTensorUnpack_432736" type="StringTensorUnpack" version="extension">
	<data mode="begins_ends" />
	<input>
	<port id="0" precision="U8">
	<dim>8489</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="29" name="Constant_432743" type="Const" version="opset1">
	<data element_type="i32" shape="256" offset="5641105" size="1024" />
	<output>
	<port id="0" precision="I32">
	<dim>256</dim>
	</port>
	</output>
	</layer>
	<layer id="30" name="BPETokenizer_432744" type="BPETokenizer" version="extension">
	<data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" cache_capacity="25600" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="4" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="5" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="6" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="7" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="8" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="9" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="10" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="11" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="12" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="13" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="14" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="15" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="16" precision="U8">
	<dim>-1</dim>
	</port>
	<port id="17" precision="I32">
	<dim>256</dim>
	</port>
	</input>
	<output>
	<port id="18" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="19" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="20" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="31" name="Subtract_432745" type="Subtract" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="32" name="Constant_432746" type="Const" version="opset1">
	<data element_type="i32" shape="" offset="5642129" size="4" />
	<output>
	<port id="0" precision="I32" />
	</output>
	</layer>
	<layer id="33" name="Minimum_432747" type="Minimum" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32" />
	</input>
	<output>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="34" name="Add_432748" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="35" name="Constant_432752" type="Const" version="opset1">
	<data element_type="i32" shape="2" offset="12" size="8" />
	<output>
	<port id="0" precision="I32">
	<dim>2</dim>
	</port>
	</output>
	</layer>
	<layer id="36" name="CombineSegments_432753" type="CombineSegments" version="extension">
	<input>
	<port id="0" precision="I32" />
	<port id="1" precision="I32" />
	<port id="2" precision="I32">
	<dim>1</dim>
	</port>
	<port id="3" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="4" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="5" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="6" precision="I32">
	<dim>2</dim>
	</port>
	</input>
	<output>
	<port id="7" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="8" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="9" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="10" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="11" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="12" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="37" name="Subtract_432754" type="Subtract" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="38" name="Constant_432755" type="Const" version="opset1">
	<data element_type="i32" shape="" offset="0" size="4" />
	<output>
	<port id="0" precision="I32" />
	</output>
	</layer>
	<layer id="39" name="ReduceMax_432756" type="ReduceMax" version="opset1">
	<data keep_dims="false" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32" />
	</input>
	<output>
	<port id="2" precision="I32" />
	</output>
	</layer>
	<layer id="40" name="Constant_432757" type="Const" version="opset1">
	<data element_type="i32" shape="" offset="0" size="4" />
	<output>
	<port id="0" precision="I32" />
	</output>
	</layer>
	<layer id="41" name="RaggedToDense_432758" type="RaggedToDense" version="extension">
	<data pad_right="true" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="I32" />
	<port id="4" precision="I32" />
	</input>
	<output>
	<port id="5" precision="I32">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	<port id="6" precision="BOOL">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="42" name="Convert_432759" type="Convert" version="opset1">
	<data destination_type="i32" />
	<input>
	<port id="0" precision="BOOL">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I32">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="43" name="Convert_432759" type="Convert" version="opset1">
	<data destination_type="i64" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I64" names="attention_mask">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="45" name="RaggedToDense_432758.0" type="Convert" version="opset1">
	<data destination_type="i64" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="I64" names="input_ids">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="46" name="Result_432762" type="Result" version="opset1">
	<input>
	<port id="0" precision="I64">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</input>
	</layer>
	<layer id="44" name="Result_432764" type="Result" version="opset1">
	<input>
	<port id="0" precision="I64">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	</input>
	</layer>
	</layers>
	<edges>
	<edge from-layer="0" from-port="0" to-layer="5" to-port="0" />
	<edge from-layer="1" from-port="0" to-layer="36" to-port="0" />
	<edge from-layer="2" from-port="0" to-layer="36" to-port="1" />
	<edge from-layer="3" from-port="0" to-layer="36" to-port="2" />
	<edge from-layer="4" from-port="0" to-layer="11" to-port="0" />
	<edge from-layer="5" from-port="1" to-layer="6" to-port="0" />
	<edge from-layer="5" from-port="3" to-layer="18" to-port="4" />
	<edge from-layer="5" from-port="2" to-layer="18" to-port="3" />
	<edge from-layer="5" from-port="1" to-layer="18" to-port="2" />
	<edge from-layer="6" from-port="1" to-layer="9" to-port="0" />
	<edge from-layer="7" from-port="0" to-layer="9" to-port="1" />
	<edge from-layer="8" from-port="0" to-layer="9" to-port="2" />
	<edge from-layer="9" from-port="3" to-layer="14" to-port="0" />
	<edge from-layer="9" from-port="3" to-layer="11" to-port="1" />
	<edge from-layer="10" from-port="0" to-layer="11" to-port="2" />
	<edge from-layer="11" from-port="3" to-layer="18" to-port="0" />
	<edge from-layer="12" from-port="0" to-layer="16" to-port="0" />
	<edge from-layer="13" from-port="0" to-layer="14" to-port="1" />
	<edge from-layer="14" from-port="2" to-layer="16" to-port="1" />
	<edge from-layer="15" from-port="0" to-layer="16" to-port="2" />
	<edge from-layer="16" from-port="3" to-layer="18" to-port="1" />
	<edge from-layer="17" from-port="0" to-layer="18" to-port="5" />
	<edge from-layer="18" from-port="9" to-layer="20" to-port="3" />
	<edge from-layer="18" from-port="11" to-layer="20" to-port="5" />
	<edge from-layer="18" from-port="10" to-layer="20" to-port="4" />
	<edge from-layer="18" from-port="8" to-layer="20" to-port="2" />
	<edge from-layer="18" from-port="7" to-layer="20" to-port="1" />
	<edge from-layer="18" from-port="6" to-layer="20" to-port="0" />
	<edge from-layer="19" from-port="0" to-layer="20" to-port="6" />
	<edge from-layer="20" from-port="7" to-layer="30" to-port="0" />
	<edge from-layer="20" from-port="8" to-layer="30" to-port="1" />
	<edge from-layer="20" from-port="9" to-layer="30" to-port="2" />
	<edge from-layer="20" from-port="10" to-layer="30" to-port="3" />
	<edge from-layer="20" from-port="11" to-layer="30" to-port="4" />
	<edge from-layer="21" from-port="0" to-layer="22" to-port="0" />
	<edge from-layer="22" from-port="3" to-layer="30" to-port="7" />
	<edge from-layer="22" from-port="1" to-layer="30" to-port="5" />
	<edge from-layer="22" from-port="2" to-layer="30" to-port="6" />
	<edge from-layer="23" from-port="0" to-layer="24" to-port="0" />
	<edge from-layer="24" from-port="1" to-layer="30" to-port="8" />
	<edge from-layer="24" from-port="2" to-layer="30" to-port="9" />
	<edge from-layer="24" from-port="3" to-layer="30" to-port="10" />
	<edge from-layer="25" from-port="0" to-layer="26" to-port="0" />
	<edge from-layer="26" from-port="3" to-layer="30" to-port="13" />
	<edge from-layer="26" from-port="1" to-layer="30" to-port="11" />
	<edge from-layer="26" from-port="2" to-layer="30" to-port="12" />
	<edge from-layer="27" from-port="0" to-layer="28" to-port="0" />
	<edge from-layer="28" from-port="1" to-layer="30" to-port="14" />
	<edge from-layer="28" from-port="2" to-layer="30" to-port="15" />
	<edge from-layer="28" from-port="3" to-layer="30" to-port="16" />
	<edge from-layer="29" from-port="0" to-layer="30" to-port="17" />
	<edge from-layer="30" from-port="20" to-layer="36" to-port="5" />
	<edge from-layer="30" from-port="18" to-layer="36" to-port="3" />
	<edge from-layer="30" from-port="18" to-layer="34" to-port="0" />
	<edge from-layer="30" from-port="18" to-layer="31" to-port="1" />
	<edge from-layer="30" from-port="19" to-layer="31" to-port="0" />
	<edge from-layer="31" from-port="2" to-layer="33" to-port="0" />
	<edge from-layer="32" from-port="0" to-layer="33" to-port="1" />
	<edge from-layer="33" from-port="2" to-layer="34" to-port="1" />
	<edge from-layer="34" from-port="2" to-layer="36" to-port="4" />
	<edge from-layer="35" from-port="0" to-layer="36" to-port="6" />
	<edge from-layer="36" from-port="8" to-layer="37" to-port="0" />
	<edge from-layer="36" from-port="7" to-layer="37" to-port="1" />
	<edge from-layer="36" from-port="7" to-layer="41" to-port="0" />
	<edge from-layer="36" from-port="8" to-layer="41" to-port="1" />
	<edge from-layer="36" from-port="9" to-layer="41" to-port="2" />
	<edge from-layer="37" from-port="2" to-layer="39" to-port="0" />
	<edge from-layer="38" from-port="0" to-layer="39" to-port="1" />
	<edge from-layer="39" from-port="2" to-layer="41" to-port="3" />
	<edge from-layer="40" from-port="0" to-layer="41" to-port="4" />
	<edge from-layer="41" from-port="6" to-layer="42" to-port="0" />
	<edge from-layer="41" from-port="5" to-layer="45" to-port="0" />
	<edge from-layer="42" from-port="1" to-layer="43" to-port="0" />
	<edge from-layer="43" from-port="1" to-layer="44" to-port="0" />
	<edge from-layer="45" from-port="1" to-layer="46" to-port="0" />
	</edges>
	<rt_info>
	<add_attention_mask value="True" />
	<add_prefix_space />
	<add_special_tokens value="True" />
	<bos_token_id value="128000" />
	<chat_template value="{{- bos_token }} {%- if custom_tools is defined %} {%- set tools = custom_tools %} {%- endif %} {%- if not tools_in_user_message is defined %} {%- set tools_in_user_message = true %} {%- endif %} {%- if not date_string is defined %} {%- if strftime_now is defined %} {%- set date_string = strftime_now("%d %b %Y") %} {%- else %} {%- set date_string = "26 Jul 2024" %} {%- endif %} {%- endif %} {%- if not tools is defined %} {%- set tools = none %} {%- endif %} {#- This block extracts the system message, so we can slot it into the right place. #} {%- if messages[0]['role'] == 'system' %} {%- set system_message = messages[0]['content']\|trim %} {%- set messages = messages[1:] %} {%- else %} {%- set system_message = "" %} {%- endif %} {#- System message #} {{- "<\|start_header_id\|>system<\|end_header_id\|>\n\n" }} {%- if tools is not none %} {{- "Environment: ipython\n" }} {%- endif %} {{- "Cutting Knowledge Date: December 2023\n" }} {{- "Today Date: " + date_string + "\n\n" }} {%- if tools is not none and not tools_in_user_message %} {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} {{- "Do not use variables.\n\n" }} {%- for t in tools %} {{- t \| tojson(indent=4) }} {{- "\n\n" }} {%- endfor %} {%- endif %} {{- system_message }} {{- "<\|eot_id\|>" }} {#- Custom tools are passed in a user message with some extra guidance #} {%- if tools_in_user_message and not tools is none %} {#- Extract the first user message so we can plug it in here #} {%- if messages \| length != 0 %} {%- set first_user_message = messages[0]['content']\|trim %} {%- set messages = messages[1:] %} {%- else %} {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} {%- endif %} {{- '<\|start_header_id\|>user<\|end_header_id\|>\n\n' -}} {{- "Given the following functions, please respond with a JSON for a function call " }} {{- "with its proper arguments that best answers the given prompt.\n\n" }} {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} {{- "Do not use variables.\n\n" }} {%- for t in tools %} {{- t \| tojson(indent=4) }} {{- "\n\n" }} {%- endfor %} {{- first_user_message + "<\|eot_id\|>"}} {%- endif %} {%- for message in messages %} {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} {{- '<\|start_header_id\|>' + message['role'] + '<\|end_header_id\|>\n\n'+ message['content'] \| trim + '<\|eot_id\|>' }} {%- elif 'tool_calls' in message %} {%- if not message.tool_calls\|length == 1 %} {{- raise_exception("This model only supports single tool-calls at once!") }} {%- endif %} {%- set tool_call = message.tool_calls[0].function %} {{- '<\|start_header_id\|>assistant<\|end_header_id\|>\n\n' -}} {{- '{"name": "' + tool_call.name + '", ' }} {{- '"parameters": ' }} {{- tool_call.arguments \| tojson }} {{- "}" }} {{- "<\|eot_id\|>" }} {%- elif message.role == "tool" or message.role == "ipython" %} {{- "<\|start_header_id\|>ipython<\|end_header_id\|>\n\n" }} {%- if message.content is mapping or message.content is iterable %} {{- message.content \| tojson }} {%- else %} {{- message.content }} {%- endif %} {{- "<\|eot_id\|>" }} {%- endif %} {%- endfor %} {%- if add_generation_prompt %} {{- '<\|start_header_id\|>assistant<\|end_header_id\|>\n\n' }} {%- endif %} " />
	<clean_up_tokenization_spaces />
	<detokenizer_input_type value="i64" />
	<eos_token_id value="128009" />
	<handle_special_tokens_with_re />
	<number_of_inputs value="1" />
	<openvino_tokenizers_version value="2024.5.0.0.dev20241030" />
	<openvino_version value="2024.5.0.dev20241030" />
	<original_tokenizer_class value="<class 'transformers.tokenization_utils_fast.PreTrainedTokenizerFast'>" />
	<sentencepiece_version value="0.2.0" />
	<skip_special_tokens value="True" />
	<streaming_detokenizer value="False" />
	<tiktoken_version value="0.8.0" />
	<tokenizer_output_type value="i64" />
	<tokenizers_version value="0.20.1" />
	<transformers_version value="4.45.2" />
	<use_max_padding value="False" />
	<use_sentencepiece_backend value="False" />
	<utf8_replace_mode />
	<with_detokenizer value="True" />
	</rt_info>
	</net>