Upload 12 files
Browse files- .gitattributes +1 -0
- README.md +94 -0
- config.json +31 -0
- generation_config.json +9 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +222 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +800 -0
- special_tokens_map.json +23 -0
- tokenizer.json +3 -0
- tokenizer_config.json +195 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,94 @@
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---
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license: mit
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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---
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# DeepSeek-R1-Distill-Qwen-7B-fp16-ov
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* Model creator: [DeepSeek](https://huggingface.co/deepseek-ai)
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* Original model: [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
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## Description
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This is [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16
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For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html)
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## Compatibility
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The provided OpenVINO™ IR model is compatible with:
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* OpenVINO version 2025.1.0 and higher
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* Optimum Intel 1.22.0 and higher
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## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
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1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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```
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pip install optimum[openvino]
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```
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2. Run model inference:
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```
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from transformers import AutoTokenizer
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from optimum.intel.openvino import OVModelForCausalLM
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model_id = "OpenVINO/DeepSeek-R1-Distill-Qwen-7B-fp16-ov"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = OVModelForCausalLM.from_pretrained(model_id)
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inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
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outputs = model.generate(**inputs, max_length=200)
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text = tokenizer.batch_decode(outputs)[0]
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print(text)
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```
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For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2025/learn-openvino/llm_inference_guide.html).
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## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
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1. Install packages required for using OpenVINO GenAI.
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```
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pip install -U --pre openvino openvino-tokenizers openvino-genai --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/pre-release
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pip install huggingface_hub
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```
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2. Download model from HuggingFace Hub
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```
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import huggingface_hub as hf_hub
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model_id = "OpenVINO/DeepSeek-R1-Distill-Qwen-7B-fp16-ov"
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model_path = "DeepSeek-R1-Distill-Qwen-7B-fp16-ov"
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hf_hub.snapshot_download(model_id, local_dir=model_path)
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```
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3. Run model inference:
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```
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import openvino_genai as ov_genai
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device = "CPU"
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pipe = ov_genai.LLMPipeline(model_path, device)
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print(pipe.generate("What is OpenVINO?", max_length=200))
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```
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More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
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## Limitations
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Check the original model card for [original model card](https://huggingface.codeepseek-ai/DeepSeek-R1-Distill-Qwen-7B) for limitations.
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## Legal information
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The original model is distributed under [mit](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md) license. More details can be found in [original model card](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B).
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## Disclaimer
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Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.49.0",
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 151646,
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"do_sample": true,
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"eos_token_id": 151643,
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"temperature": 0.6,
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"top_p": 0.95,
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"transformers_version": "4.49.0"
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}
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad840d9683d5c311a078abe18e0f5c7bd1acfedfeb2c575195edefc9611ca8fa
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size 2189629
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openvino_detokenizer.xml
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<?xml version="1.0"?>
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| 2 |
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_84528" type="Parameter" version="opset1">
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| 5 |
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<data shape="?,?" element_type="i64" />
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| 6 |
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<output>
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| 7 |
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<port id="0" precision="I64" names="Parameter_84528">
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| 8 |
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Convert_84698" type="Convert" version="opset1">
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<data destination_type="i32" />
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| 15 |
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<input>
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| 16 |
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<port id="0" precision="I64">
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<dim>-1</dim>
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| 18 |
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<dim>-1</dim>
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| 19 |
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</port>
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| 20 |
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</input>
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<output>
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| 22 |
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<port id="1" precision="I32">
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| 23 |
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<dim>-1</dim>
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| 24 |
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<dim>-1</dim>
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| 25 |
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</port>
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| 26 |
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</output>
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| 27 |
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</layer>
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| 28 |
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<layer id="2" name="Constant_84530" type="Const" version="opset1">
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| 29 |
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<data element_type="i32" shape="151665" offset="0" size="606660" />
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<output>
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<port id="0" precision="I32">
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| 32 |
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<dim>151665</dim>
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</port>
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</output>
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</layer>
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| 36 |
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<layer id="3" name="Constant_84532" type="Const" version="opset1">
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| 37 |
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<data element_type="i32" shape="151665" offset="606660" size="606660" />
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| 38 |
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<output>
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| 39 |
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<port id="0" precision="I32">
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| 40 |
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<dim>151665</dim>
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| 41 |
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</port>
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| 42 |
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</output>
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| 43 |
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</layer>
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| 44 |
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<layer id="4" name="Constant_84534" type="Const" version="opset1">
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| 45 |
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<data element_type="u8" shape="976273" offset="1213320" size="976273" />
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<output>
|
| 47 |
+
<port id="0" precision="U8">
|
| 48 |
+
<dim>976273</dim>
|
| 49 |
+
</port>
|
| 50 |
+
</output>
|
| 51 |
+
</layer>
|
| 52 |
+
<layer id="5" name="Slice_84539" type="Const" version="opset1">
|
| 53 |
+
<data element_type="i32" shape="9" offset="2189593" size="36" />
|
| 54 |
+
<output>
|
| 55 |
+
<port id="0" precision="I32">
|
| 56 |
+
<dim>9</dim>
|
| 57 |
+
</port>
|
| 58 |
+
</output>
|
| 59 |
+
</layer>
|
| 60 |
+
<layer id="6" name="VocabDecoder_84541" type="VocabDecoder" version="extension">
|
| 61 |
+
<data skip_tokens="" />
|
| 62 |
+
<input>
|
| 63 |
+
<port id="0" precision="I32">
|
| 64 |
+
<dim>-1</dim>
|
| 65 |
+
<dim>-1</dim>
|
| 66 |
+
</port>
|
| 67 |
+
<port id="1" precision="I32">
|
| 68 |
+
<dim>151665</dim>
|
| 69 |
+
</port>
|
| 70 |
+
<port id="2" precision="I32">
|
| 71 |
+
<dim>151665</dim>
|
| 72 |
+
</port>
|
| 73 |
+
<port id="3" precision="U8">
|
| 74 |
+
<dim>976273</dim>
|
| 75 |
+
</port>
|
| 76 |
+
<port id="4" precision="I32">
|
| 77 |
+
<dim>9</dim>
|
| 78 |
+
</port>
|
| 79 |
+
</input>
|
| 80 |
+
<output>
|
| 81 |
+
<port id="5" precision="I32">
|
| 82 |
+
<dim>-1</dim>
|
| 83 |
+
</port>
|
| 84 |
+
<port id="6" precision="I32">
|
| 85 |
+
<dim>-1</dim>
|
| 86 |
+
</port>
|
| 87 |
+
<port id="7" precision="I32">
|
| 88 |
+
<dim>-1</dim>
|
| 89 |
+
</port>
|
| 90 |
+
<port id="8" precision="I32">
|
| 91 |
+
<dim>-1</dim>
|
| 92 |
+
</port>
|
| 93 |
+
<port id="9" precision="U8">
|
| 94 |
+
<dim>-1</dim>
|
| 95 |
+
</port>
|
| 96 |
+
</output>
|
| 97 |
+
</layer>
|
| 98 |
+
<layer id="7" name="FuzeRagged_84542" type="FuzeRagged" version="extension">
|
| 99 |
+
<input>
|
| 100 |
+
<port id="0" precision="I32">
|
| 101 |
+
<dim>-1</dim>
|
| 102 |
+
</port>
|
| 103 |
+
<port id="1" precision="I32">
|
| 104 |
+
<dim>-1</dim>
|
| 105 |
+
</port>
|
| 106 |
+
<port id="2" precision="I32">
|
| 107 |
+
<dim>-1</dim>
|
| 108 |
+
</port>
|
| 109 |
+
<port id="3" precision="I32">
|
| 110 |
+
<dim>-1</dim>
|
| 111 |
+
</port>
|
| 112 |
+
</input>
|
| 113 |
+
<output>
|
| 114 |
+
<port id="4" precision="I32">
|
| 115 |
+
<dim>-1</dim>
|
| 116 |
+
</port>
|
| 117 |
+
<port id="5" precision="I32">
|
| 118 |
+
<dim>-1</dim>
|
| 119 |
+
</port>
|
| 120 |
+
</output>
|
| 121 |
+
</layer>
|
| 122 |
+
<layer id="8" name="UTF8Validate_84543" type="UTF8Validate" version="extension">
|
| 123 |
+
<data replace_mode="true" />
|
| 124 |
+
<input>
|
| 125 |
+
<port id="0" precision="I32">
|
| 126 |
+
<dim>-1</dim>
|
| 127 |
+
</port>
|
| 128 |
+
<port id="1" precision="I32">
|
| 129 |
+
<dim>-1</dim>
|
| 130 |
+
</port>
|
| 131 |
+
<port id="2" precision="U8">
|
| 132 |
+
<dim>-1</dim>
|
| 133 |
+
</port>
|
| 134 |
+
</input>
|
| 135 |
+
<output>
|
| 136 |
+
<port id="3" precision="I32">
|
| 137 |
+
<dim>-1</dim>
|
| 138 |
+
</port>
|
| 139 |
+
<port id="4" precision="I32">
|
| 140 |
+
<dim>-1</dim>
|
| 141 |
+
</port>
|
| 142 |
+
<port id="5" precision="U8">
|
| 143 |
+
<dim>-1</dim>
|
| 144 |
+
</port>
|
| 145 |
+
</output>
|
| 146 |
+
</layer>
|
| 147 |
+
<layer id="9" name="StringTensorPack_84544" type="StringTensorPack" version="opset15">
|
| 148 |
+
<input>
|
| 149 |
+
<port id="0" precision="I32">
|
| 150 |
+
<dim>-1</dim>
|
| 151 |
+
</port>
|
| 152 |
+
<port id="1" precision="I32">
|
| 153 |
+
<dim>-1</dim>
|
| 154 |
+
</port>
|
| 155 |
+
<port id="2" precision="U8">
|
| 156 |
+
<dim>-1</dim>
|
| 157 |
+
</port>
|
| 158 |
+
</input>
|
| 159 |
+
<output>
|
| 160 |
+
<port id="3" precision="STRING" names="Result_84545,string_output">
|
| 161 |
+
<dim>-1</dim>
|
| 162 |
+
</port>
|
| 163 |
+
</output>
|
| 164 |
+
</layer>
|
| 165 |
+
<layer id="10" name="Result_84545" type="Result" version="opset1" output_names="Result_84545,string_output">
|
| 166 |
+
<input>
|
| 167 |
+
<port id="0" precision="STRING">
|
| 168 |
+
<dim>-1</dim>
|
| 169 |
+
</port>
|
| 170 |
+
</input>
|
| 171 |
+
</layer>
|
| 172 |
+
</layers>
|
| 173 |
+
<edges>
|
| 174 |
+
<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
|
| 175 |
+
<edge from-layer="1" from-port="1" to-layer="6" to-port="0" />
|
| 176 |
+
<edge from-layer="2" from-port="0" to-layer="6" to-port="1" />
|
| 177 |
+
<edge from-layer="3" from-port="0" to-layer="6" to-port="2" />
|
| 178 |
+
<edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
|
| 179 |
+
<edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
|
| 180 |
+
<edge from-layer="6" from-port="7" to-layer="7" to-port="2" />
|
| 181 |
+
<edge from-layer="6" from-port="9" to-layer="8" to-port="2" />
|
| 182 |
+
<edge from-layer="6" from-port="8" to-layer="7" to-port="3" />
|
| 183 |
+
<edge from-layer="6" from-port="6" to-layer="7" to-port="1" />
|
| 184 |
+
<edge from-layer="6" from-port="5" to-layer="7" to-port="0" />
|
| 185 |
+
<edge from-layer="7" from-port="4" to-layer="8" to-port="0" />
|
| 186 |
+
<edge from-layer="7" from-port="5" to-layer="8" to-port="1" />
|
| 187 |
+
<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
| 188 |
+
<edge from-layer="8" from-port="4" to-layer="9" to-port="1" />
|
| 189 |
+
<edge from-layer="8" from-port="5" to-layer="9" to-port="2" />
|
| 190 |
+
<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
|
| 191 |
+
</edges>
|
| 192 |
+
<rt_info>
|
| 193 |
+
<add_attention_mask value="True" />
|
| 194 |
+
<add_prefix_space />
|
| 195 |
+
<add_special_tokens value="True" />
|
| 196 |
+
<bos_token_id value="151646" />
|
| 197 |
+
<chat_template value="{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}" />
|
| 198 |
+
<clean_up_tokenization_spaces />
|
| 199 |
+
<detokenizer_input_type value="i64" />
|
| 200 |
+
<eos_token_id value="151643" />
|
| 201 |
+
<handle_special_tokens_with_re />
|
| 202 |
+
<max_length />
|
| 203 |
+
<number_of_inputs value="1" />
|
| 204 |
+
<openvino_tokenizers_version value="2025.1.0.0-521-f19692df998" />
|
| 205 |
+
<openvino_version value="2025.1.0-18467-d737fa2d2aa-releases/2025/1" />
|
| 206 |
+
<original_post_processor_template value="{"type": "TemplateProcessing", "single": [{"SpecialToken": {"id": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"SpecialToken": {"id": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "type_id": 1}}, {"Sequence": {"id": "B", "type_id": 1}}], "special_tokens": {"<\uff5cbegin\u2581of\u2581sentence\uff5c>": {"id": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "ids": [151646], "tokens": ["<\uff5cbegin\u2581of\u2581sentence\uff5c>"]}}}" />
|
| 207 |
+
<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
|
| 208 |
+
<pad_token_id value="151643" />
|
| 209 |
+
<processed_post_processor_template value="{"single": {"ids": [151646, -1], "type_ids": [0, 0]}, "pair": {"ids": [151646, -1, 151646, -2], "type_ids": [0, 0, 1, 1]}}" />
|
| 210 |
+
<sentencepiece_version value="0.2.0" />
|
| 211 |
+
<skip_special_tokens value="True" />
|
| 212 |
+
<streaming_detokenizer value="False" />
|
| 213 |
+
<tiktoken_version value="0.7.0" />
|
| 214 |
+
<tokenizer_output_type value="i64" />
|
| 215 |
+
<tokenizers_version value="0.21.0" />
|
| 216 |
+
<transformers_version value="4.49.0" />
|
| 217 |
+
<use_max_padding value="False" />
|
| 218 |
+
<use_sentencepiece_backend value="False" />
|
| 219 |
+
<utf8_replace_mode value="replace" />
|
| 220 |
+
<with_detokenizer value="True" />
|
| 221 |
+
</rt_info>
|
| 222 |
+
</net>
|
openvino_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:def3df6e03a25c9d832a0aeb3b3b0fe0238e3990943f98d70b93aa7e533da78b
|
| 3 |
+
size 15231233426
|
openvino_model.xml
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
openvino_tokenizer.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b8a11e94ca0a95c1ccdd78453dd85d806ad0cdaf404ede9885e606bee1a613c
|
| 3 |
+
size 5588655
|
openvino_tokenizer.xml
ADDED
|
@@ -0,0 +1,800 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
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|
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|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="tokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_84401" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?" element_type="string" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="STRING" names="Parameter_84401">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
</port>
|
| 10 |
+
</output>
|
| 11 |
+
</layer>
|
| 12 |
+
<layer id="1" name="Constant_84512" type="Const" version="opset1">
|
| 13 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 14 |
+
<output>
|
| 15 |
+
<port id="0" precision="I32" />
|
| 16 |
+
</output>
|
| 17 |
+
</layer>
|
| 18 |
+
<layer id="2" name="Constant_84513" type="Const" version="opset1">
|
| 19 |
+
<data element_type="i32" shape="" offset="4" size="4" />
|
| 20 |
+
<output>
|
| 21 |
+
<port id="0" precision="I32" />
|
| 22 |
+
</output>
|
| 23 |
+
</layer>
|
| 24 |
+
<layer id="3" name="Constant_84514" type="Const" version="opset1">
|
| 25 |
+
<data element_type="i32" shape="1" offset="8" size="4" />
|
| 26 |
+
<output>
|
| 27 |
+
<port id="0" precision="I32">
|
| 28 |
+
<dim>1</dim>
|
| 29 |
+
</port>
|
| 30 |
+
</output>
|
| 31 |
+
</layer>
|
| 32 |
+
<layer id="4" name="Constant_84407" type="Const" version="opset1">
|
| 33 |
+
<data element_type="i64" shape="" offset="12" size="8" />
|
| 34 |
+
<output>
|
| 35 |
+
<port id="0" precision="I64" />
|
| 36 |
+
</output>
|
| 37 |
+
</layer>
|
| 38 |
+
<layer id="5" name="StringTensorUnpack_84402" type="StringTensorUnpack" version="opset15">
|
| 39 |
+
<input>
|
| 40 |
+
<port id="0" precision="STRING">
|
| 41 |
+
<dim>-1</dim>
|
| 42 |
+
</port>
|
| 43 |
+
</input>
|
| 44 |
+
<output>
|
| 45 |
+
<port id="1" precision="I32">
|
| 46 |
+
<dim>-1</dim>
|
| 47 |
+
</port>
|
| 48 |
+
<port id="2" precision="I32">
|
| 49 |
+
<dim>-1</dim>
|
| 50 |
+
</port>
|
| 51 |
+
<port id="3" precision="U8">
|
| 52 |
+
<dim>-1</dim>
|
| 53 |
+
</port>
|
| 54 |
+
</output>
|
| 55 |
+
</layer>
|
| 56 |
+
<layer id="6" name="ShapeOf_84403" type="ShapeOf" version="opset3">
|
| 57 |
+
<data output_type="i64" />
|
| 58 |
+
<input>
|
| 59 |
+
<port id="0" precision="I32">
|
| 60 |
+
<dim>-1</dim>
|
| 61 |
+
</port>
|
| 62 |
+
</input>
|
| 63 |
+
<output>
|
| 64 |
+
<port id="1" precision="I64">
|
| 65 |
+
<dim>1</dim>
|
| 66 |
+
</port>
|
| 67 |
+
</output>
|
| 68 |
+
</layer>
|
| 69 |
+
<layer id="7" name="Constant_84404" type="Const" version="opset1">
|
| 70 |
+
<data element_type="i64" shape="" offset="12" size="8" />
|
| 71 |
+
<output>
|
| 72 |
+
<port id="0" precision="I64" />
|
| 73 |
+
</output>
|
| 74 |
+
</layer>
|
| 75 |
+
<layer id="8" name="Constant_84405" type="Const" version="opset1">
|
| 76 |
+
<data element_type="i64" shape="" offset="12" size="8" />
|
| 77 |
+
<output>
|
| 78 |
+
<port id="0" precision="I64" />
|
| 79 |
+
</output>
|
| 80 |
+
</layer>
|
| 81 |
+
<layer id="9" name="Gather_84406" type="Gather" version="opset8">
|
| 82 |
+
<data batch_dims="0" />
|
| 83 |
+
<input>
|
| 84 |
+
<port id="0" precision="I64">
|
| 85 |
+
<dim>1</dim>
|
| 86 |
+
</port>
|
| 87 |
+
<port id="1" precision="I64" />
|
| 88 |
+
<port id="2" precision="I64" />
|
| 89 |
+
</input>
|
| 90 |
+
<output>
|
| 91 |
+
<port id="3" precision="I64" />
|
| 92 |
+
</output>
|
| 93 |
+
</layer>
|
| 94 |
+
<layer id="10" name="Constant_84408" type="Const" version="opset1">
|
| 95 |
+
<data element_type="i64" shape="" offset="20" size="8" />
|
| 96 |
+
<output>
|
| 97 |
+
<port id="0" precision="I64" />
|
| 98 |
+
</output>
|
| 99 |
+
</layer>
|
| 100 |
+
<layer id="11" name="Range_84409" type="Range" version="opset4">
|
| 101 |
+
<data output_type="i32" />
|
| 102 |
+
<input>
|
| 103 |
+
<port id="0" precision="I64" />
|
| 104 |
+
<port id="1" precision="I64" />
|
| 105 |
+
<port id="2" precision="I64" />
|
| 106 |
+
</input>
|
| 107 |
+
<output>
|
| 108 |
+
<port id="3" precision="I32">
|
| 109 |
+
<dim>-1</dim>
|
| 110 |
+
</port>
|
| 111 |
+
</output>
|
| 112 |
+
</layer>
|
| 113 |
+
<layer id="12" name="Constant_84410" type="Const" version="opset1">
|
| 114 |
+
<data element_type="i64" shape="" offset="20" size="8" />
|
| 115 |
+
<output>
|
| 116 |
+
<port id="0" precision="I64" />
|
| 117 |
+
</output>
|
| 118 |
+
</layer>
|
| 119 |
+
<layer id="13" name="Constant_84411" type="Const" version="opset1">
|
| 120 |
+
<data element_type="i64" shape="" offset="20" size="8" />
|
| 121 |
+
<output>
|
| 122 |
+
<port id="0" precision="I64" />
|
| 123 |
+
</output>
|
| 124 |
+
</layer>
|
| 125 |
+
<layer id="14" name="Add_84412" type="Add" version="opset1">
|
| 126 |
+
<data auto_broadcast="numpy" />
|
| 127 |
+
<input>
|
| 128 |
+
<port id="0" precision="I64" />
|
| 129 |
+
<port id="1" precision="I64" />
|
| 130 |
+
</input>
|
| 131 |
+
<output>
|
| 132 |
+
<port id="2" precision="I64" />
|
| 133 |
+
</output>
|
| 134 |
+
</layer>
|
| 135 |
+
<layer id="15" name="Constant_84413" type="Const" version="opset1">
|
| 136 |
+
<data element_type="i64" shape="" offset="20" size="8" />
|
| 137 |
+
<output>
|
| 138 |
+
<port id="0" precision="I64" />
|
| 139 |
+
</output>
|
| 140 |
+
</layer>
|
| 141 |
+
<layer id="16" name="Range_84414" type="Range" version="opset4">
|
| 142 |
+
<data output_type="i32" />
|
| 143 |
+
<input>
|
| 144 |
+
<port id="0" precision="I64" />
|
| 145 |
+
<port id="1" precision="I64" />
|
| 146 |
+
<port id="2" precision="I64" />
|
| 147 |
+
</input>
|
| 148 |
+
<output>
|
| 149 |
+
<port id="3" precision="I32">
|
| 150 |
+
<dim>-1</dim>
|
| 151 |
+
</port>
|
| 152 |
+
</output>
|
| 153 |
+
</layer>
|
| 154 |
+
<layer id="17" name="Constant_84476" type="Const" version="opset1">
|
| 155 |
+
<data element_type="u8" shape="443" offset="28" size="443" />
|
| 156 |
+
<output>
|
| 157 |
+
<port id="0" precision="U8">
|
| 158 |
+
<dim>443</dim>
|
| 159 |
+
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|
| 160 |
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| 161 |
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| 162 |
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| 163 |
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+
<output>
|
| 544 |
+
<port id="7" precision="I32">
|
| 545 |
+
<dim>-1</dim>
|
| 546 |
+
</port>
|
| 547 |
+
<port id="8" precision="I32">
|
| 548 |
+
<dim>-1</dim>
|
| 549 |
+
</port>
|
| 550 |
+
<port id="9" precision="I32">
|
| 551 |
+
<dim>-1</dim>
|
| 552 |
+
</port>
|
| 553 |
+
<port id="10" precision="I32">
|
| 554 |
+
<dim>-1</dim>
|
| 555 |
+
</port>
|
| 556 |
+
<port id="11" precision="I32">
|
| 557 |
+
<dim>-1</dim>
|
| 558 |
+
</port>
|
| 559 |
+
<port id="12" precision="I32">
|
| 560 |
+
<dim>-1</dim>
|
| 561 |
+
</port>
|
| 562 |
+
</output>
|
| 563 |
+
</layer>
|
| 564 |
+
<layer id="42" name="Subtract_84517" type="Subtract" version="opset1">
|
| 565 |
+
<data auto_broadcast="numpy" />
|
| 566 |
+
<input>
|
| 567 |
+
<port id="0" precision="I32">
|
| 568 |
+
<dim>-1</dim>
|
| 569 |
+
</port>
|
| 570 |
+
<port id="1" precision="I32">
|
| 571 |
+
<dim>-1</dim>
|
| 572 |
+
</port>
|
| 573 |
+
</input>
|
| 574 |
+
<output>
|
| 575 |
+
<port id="2" precision="I32">
|
| 576 |
+
<dim>-1</dim>
|
| 577 |
+
</port>
|
| 578 |
+
</output>
|
| 579 |
+
</layer>
|
| 580 |
+
<layer id="43" name="Constant_84518" type="Const" version="opset1">
|
| 581 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 582 |
+
<output>
|
| 583 |
+
<port id="0" precision="I32" />
|
| 584 |
+
</output>
|
| 585 |
+
</layer>
|
| 586 |
+
<layer id="44" name="ReduceMax_84519" type="ReduceMax" version="opset1">
|
| 587 |
+
<data keep_dims="false" />
|
| 588 |
+
<input>
|
| 589 |
+
<port id="0" precision="I32">
|
| 590 |
+
<dim>-1</dim>
|
| 591 |
+
</port>
|
| 592 |
+
<port id="1" precision="I32" />
|
| 593 |
+
</input>
|
| 594 |
+
<output>
|
| 595 |
+
<port id="2" precision="I32" />
|
| 596 |
+
</output>
|
| 597 |
+
</layer>
|
| 598 |
+
<layer id="45" name="Constant_84520" type="Const" version="opset1">
|
| 599 |
+
<data element_type="i32" shape="" offset="5588651" size="4" />
|
| 600 |
+
<output>
|
| 601 |
+
<port id="0" precision="I32" />
|
| 602 |
+
</output>
|
| 603 |
+
</layer>
|
| 604 |
+
<layer id="46" name="RaggedToDense_84521" type="RaggedToDense" version="extension">
|
| 605 |
+
<data pad_right="false" m_pad_max_length="false" />
|
| 606 |
+
<input>
|
| 607 |
+
<port id="0" precision="I32">
|
| 608 |
+
<dim>-1</dim>
|
| 609 |
+
</port>
|
| 610 |
+
<port id="1" precision="I32">
|
| 611 |
+
<dim>-1</dim>
|
| 612 |
+
</port>
|
| 613 |
+
<port id="2" precision="I32">
|
| 614 |
+
<dim>-1</dim>
|
| 615 |
+
</port>
|
| 616 |
+
<port id="3" precision="I32" />
|
| 617 |
+
<port id="4" precision="I32" />
|
| 618 |
+
</input>
|
| 619 |
+
<output>
|
| 620 |
+
<port id="5" precision="I32">
|
| 621 |
+
<dim>-1</dim>
|
| 622 |
+
<dim>-1</dim>
|
| 623 |
+
</port>
|
| 624 |
+
<port id="6" precision="BOOL">
|
| 625 |
+
<dim>-1</dim>
|
| 626 |
+
<dim>-1</dim>
|
| 627 |
+
</port>
|
| 628 |
+
</output>
|
| 629 |
+
</layer>
|
| 630 |
+
<layer id="47" name="Convert_84522" type="Convert" version="opset1">
|
| 631 |
+
<data destination_type="i32" />
|
| 632 |
+
<input>
|
| 633 |
+
<port id="0" precision="BOOL">
|
| 634 |
+
<dim>-1</dim>
|
| 635 |
+
<dim>-1</dim>
|
| 636 |
+
</port>
|
| 637 |
+
</input>
|
| 638 |
+
<output>
|
| 639 |
+
<port id="1" precision="I32">
|
| 640 |
+
<dim>-1</dim>
|
| 641 |
+
<dim>-1</dim>
|
| 642 |
+
</port>
|
| 643 |
+
</output>
|
| 644 |
+
</layer>
|
| 645 |
+
<layer id="48" name="Convert_84522.0" type="Convert" version="opset1">
|
| 646 |
+
<data destination_type="i64" />
|
| 647 |
+
<input>
|
| 648 |
+
<port id="0" precision="I32">
|
| 649 |
+
<dim>-1</dim>
|
| 650 |
+
<dim>-1</dim>
|
| 651 |
+
</port>
|
| 652 |
+
</input>
|
| 653 |
+
<output>
|
| 654 |
+
<port id="1" precision="I64" names="attention_mask">
|
| 655 |
+
<dim>-1</dim>
|
| 656 |
+
<dim>-1</dim>
|
| 657 |
+
</port>
|
| 658 |
+
</output>
|
| 659 |
+
</layer>
|
| 660 |
+
<layer id="50" name="RaggedToDense_84521.0" type="Convert" version="opset1">
|
| 661 |
+
<data destination_type="i64" />
|
| 662 |
+
<input>
|
| 663 |
+
<port id="0" precision="I32">
|
| 664 |
+
<dim>-1</dim>
|
| 665 |
+
<dim>-1</dim>
|
| 666 |
+
</port>
|
| 667 |
+
</input>
|
| 668 |
+
<output>
|
| 669 |
+
<port id="1" precision="I64" names="input_ids">
|
| 670 |
+
<dim>-1</dim>
|
| 671 |
+
<dim>-1</dim>
|
| 672 |
+
</port>
|
| 673 |
+
</output>
|
| 674 |
+
</layer>
|
| 675 |
+
<layer id="51" name="Result_84525" type="Result" version="opset1" output_names="input_ids">
|
| 676 |
+
<input>
|
| 677 |
+
<port id="0" precision="I64">
|
| 678 |
+
<dim>-1</dim>
|
| 679 |
+
<dim>-1</dim>
|
| 680 |
+
</port>
|
| 681 |
+
</input>
|
| 682 |
+
</layer>
|
| 683 |
+
<layer id="49" name="Result_84527" type="Result" version="opset1" output_names="attention_mask">
|
| 684 |
+
<input>
|
| 685 |
+
<port id="0" precision="I64">
|
| 686 |
+
<dim>-1</dim>
|
| 687 |
+
<dim>-1</dim>
|
| 688 |
+
</port>
|
| 689 |
+
</input>
|
| 690 |
+
</layer>
|
| 691 |
+
</layers>
|
| 692 |
+
<edges>
|
| 693 |
+
<edge from-layer="0" from-port="0" to-layer="5" to-port="0" />
|
| 694 |
+
<edge from-layer="1" from-port="0" to-layer="41" to-port="0" />
|
| 695 |
+
<edge from-layer="2" from-port="0" to-layer="41" to-port="1" />
|
| 696 |
+
<edge from-layer="3" from-port="0" to-layer="41" to-port="2" />
|
| 697 |
+
<edge from-layer="4" from-port="0" to-layer="11" to-port="0" />
|
| 698 |
+
<edge from-layer="5" from-port="1" to-layer="6" to-port="0" />
|
| 699 |
+
<edge from-layer="5" from-port="3" to-layer="18" to-port="4" />
|
| 700 |
+
<edge from-layer="5" from-port="2" to-layer="18" to-port="3" />
|
| 701 |
+
<edge from-layer="5" from-port="1" to-layer="18" to-port="2" />
|
| 702 |
+
<edge from-layer="6" from-port="1" to-layer="9" to-port="0" />
|
| 703 |
+
<edge from-layer="7" from-port="0" to-layer="9" to-port="1" />
|
| 704 |
+
<edge from-layer="8" from-port="0" to-layer="9" to-port="2" />
|
| 705 |
+
<edge from-layer="9" from-port="3" to-layer="11" to-port="1" />
|
| 706 |
+
<edge from-layer="9" from-port="3" to-layer="14" to-port="0" />
|
| 707 |
+
<edge from-layer="10" from-port="0" to-layer="11" to-port="2" />
|
| 708 |
+
<edge from-layer="11" from-port="3" to-layer="18" to-port="0" />
|
| 709 |
+
<edge from-layer="12" from-port="0" to-layer="16" to-port="0" />
|
| 710 |
+
<edge from-layer="13" from-port="0" to-layer="14" to-port="1" />
|
| 711 |
+
<edge from-layer="14" from-port="2" to-layer="16" to-port="1" />
|
| 712 |
+
<edge from-layer="15" from-port="0" to-layer="16" to-port="2" />
|
| 713 |
+
<edge from-layer="16" from-port="3" to-layer="18" to-port="1" />
|
| 714 |
+
<edge from-layer="17" from-port="0" to-layer="18" to-port="5" />
|
| 715 |
+
<edge from-layer="18" from-port="8" to-layer="19" to-port="0" />
|
| 716 |
+
<edge from-layer="18" from-port="9" to-layer="19" to-port="1" />
|
| 717 |
+
<edge from-layer="18" from-port="10" to-layer="19" to-port="2" />
|
| 718 |
+
<edge from-layer="18" from-port="11" to-layer="19" to-port="3" />
|
| 719 |
+
<edge from-layer="18" from-port="6" to-layer="21" to-port="0" />
|
| 720 |
+
<edge from-layer="18" from-port="7" to-layer="21" to-port="1" />
|
| 721 |
+
<edge from-layer="19" from-port="4" to-layer="21" to-port="2" />
|
| 722 |
+
<edge from-layer="19" from-port="7" to-layer="21" to-port="5" />
|
| 723 |
+
<edge from-layer="19" from-port="6" to-layer="21" to-port="4" />
|
| 724 |
+
<edge from-layer="19" from-port="5" to-layer="21" to-port="3" />
|
| 725 |
+
<edge from-layer="20" from-port="0" to-layer="21" to-port="6" />
|
| 726 |
+
<edge from-layer="21" from-port="7" to-layer="35" to-port="0" />
|
| 727 |
+
<edge from-layer="21" from-port="8" to-layer="35" to-port="1" />
|
| 728 |
+
<edge from-layer="21" from-port="9" to-layer="35" to-port="2" />
|
| 729 |
+
<edge from-layer="21" from-port="10" to-layer="35" to-port="3" />
|
| 730 |
+
<edge from-layer="21" from-port="11" to-layer="35" to-port="4" />
|
| 731 |
+
<edge from-layer="22" from-port="0" to-layer="35" to-port="5" />
|
| 732 |
+
<edge from-layer="23" from-port="0" to-layer="35" to-port="6" />
|
| 733 |
+
<edge from-layer="24" from-port="0" to-layer="35" to-port="7" />
|
| 734 |
+
<edge from-layer="25" from-port="0" to-layer="35" to-port="8" />
|
| 735 |
+
<edge from-layer="26" from-port="0" to-layer="35" to-port="9" />
|
| 736 |
+
<edge from-layer="27" from-port="0" to-layer="35" to-port="10" />
|
| 737 |
+
<edge from-layer="28" from-port="0" to-layer="35" to-port="11" />
|
| 738 |
+
<edge from-layer="29" from-port="0" to-layer="35" to-port="12" />
|
| 739 |
+
<edge from-layer="30" from-port="0" to-layer="35" to-port="13" />
|
| 740 |
+
<edge from-layer="31" from-port="0" to-layer="35" to-port="14" />
|
| 741 |
+
<edge from-layer="32" from-port="0" to-layer="35" to-port="15" />
|
| 742 |
+
<edge from-layer="33" from-port="0" to-layer="35" to-port="16" />
|
| 743 |
+
<edge from-layer="34" from-port="0" to-layer="35" to-port="17" />
|
| 744 |
+
<edge from-layer="35" from-port="19" to-layer="41" to-port="4" />
|
| 745 |
+
<edge from-layer="35" from-port="20" to-layer="41" to-port="5" />
|
| 746 |
+
<edge from-layer="35" from-port="19" to-layer="39" to-port="0" />
|
| 747 |
+
<edge from-layer="35" from-port="18" to-layer="36" to-port="1" />
|
| 748 |
+
<edge from-layer="35" from-port="19" to-layer="36" to-port="0" />
|
| 749 |
+
<edge from-layer="36" from-port="2" to-layer="38" to-port="0" />
|
| 750 |
+
<edge from-layer="37" from-port="0" to-layer="38" to-port="1" />
|
| 751 |
+
<edge from-layer="38" from-port="2" to-layer="39" to-port="1" />
|
| 752 |
+
<edge from-layer="39" from-port="2" to-layer="41" to-port="3" />
|
| 753 |
+
<edge from-layer="40" from-port="0" to-layer="41" to-port="6" />
|
| 754 |
+
<edge from-layer="41" from-port="8" to-layer="42" to-port="0" />
|
| 755 |
+
<edge from-layer="41" from-port="7" to-layer="42" to-port="1" />
|
| 756 |
+
<edge from-layer="41" from-port="7" to-layer="46" to-port="0" />
|
| 757 |
+
<edge from-layer="41" from-port="8" to-layer="46" to-port="1" />
|
| 758 |
+
<edge from-layer="41" from-port="9" to-layer="46" to-port="2" />
|
| 759 |
+
<edge from-layer="42" from-port="2" to-layer="44" to-port="0" />
|
| 760 |
+
<edge from-layer="43" from-port="0" to-layer="44" to-port="1" />
|
| 761 |
+
<edge from-layer="44" from-port="2" to-layer="46" to-port="3" />
|
| 762 |
+
<edge from-layer="45" from-port="0" to-layer="46" to-port="4" />
|
| 763 |
+
<edge from-layer="46" from-port="6" to-layer="47" to-port="0" />
|
| 764 |
+
<edge from-layer="46" from-port="5" to-layer="50" to-port="0" />
|
| 765 |
+
<edge from-layer="47" from-port="1" to-layer="48" to-port="0" />
|
| 766 |
+
<edge from-layer="48" from-port="1" to-layer="49" to-port="0" />
|
| 767 |
+
<edge from-layer="50" from-port="1" to-layer="51" to-port="0" />
|
| 768 |
+
</edges>
|
| 769 |
+
<rt_info>
|
| 770 |
+
<add_attention_mask value="True" />
|
| 771 |
+
<add_prefix_space />
|
| 772 |
+
<add_special_tokens value="True" />
|
| 773 |
+
<bos_token_id value="151646" />
|
| 774 |
+
<chat_template value="{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of��sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}" />
|
| 775 |
+
<clean_up_tokenization_spaces />
|
| 776 |
+
<detokenizer_input_type value="i64" />
|
| 777 |
+
<eos_token_id value="151643" />
|
| 778 |
+
<handle_special_tokens_with_re />
|
| 779 |
+
<max_length />
|
| 780 |
+
<number_of_inputs value="1" />
|
| 781 |
+
<openvino_tokenizers_version value="2025.1.0.0-521-f19692df998" />
|
| 782 |
+
<openvino_version value="2025.1.0-18467-d737fa2d2aa-releases/2025/1" />
|
| 783 |
+
<original_post_processor_template value="{"type": "TemplateProcessing", "single": [{"SpecialToken": {"id": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"SpecialToken": {"id": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "type_id": 1}}, {"Sequence": {"id": "B", "type_id": 1}}], "special_tokens": {"<\uff5cbegin\u2581of\u2581sentence\uff5c>": {"id": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "ids": [151646], "tokens": ["<\uff5cbegin\u2581of\u2581sentence\uff5c>"]}}}" />
|
| 784 |
+
<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
|
| 785 |
+
<pad_token_id value="151643" />
|
| 786 |
+
<processed_post_processor_template value="{"single": {"ids": [151646, -1], "type_ids": [0, 0]}, "pair": {"ids": [151646, -1, 151646, -2], "type_ids": [0, 0, 1, 1]}}" />
|
| 787 |
+
<sentencepiece_version value="0.2.0" />
|
| 788 |
+
<simplified_chat_template value="{% for message in messages %}{% if loop.first %}{{ '<｜begin▁of▁sentence｜>' }}{% endif %}{% if message['role'] == 'system' and message['content'] %}{{ message['content'] }}{% elif message['role'] == 'user' %}{{ '<｜User｜>' + message['content'] }}{% elif message['role'] == 'assistant' %}{{ '<｜Assistant｜>' + message['content'] + '<｜end▁of▁sentence｜>' }}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<｜Assistant｜>' }}{% endif %}{% endfor %}" />
|
| 789 |
+
<skip_special_tokens value="True" />
|
| 790 |
+
<streaming_detokenizer value="False" />
|
| 791 |
+
<tiktoken_version value="0.7.0" />
|
| 792 |
+
<tokenizer_output_type value="i64" />
|
| 793 |
+
<tokenizers_version value="0.21.0" />
|
| 794 |
+
<transformers_version value="4.49.0" />
|
| 795 |
+
<use_max_padding value="False" />
|
| 796 |
+
<use_sentencepiece_backend value="False" />
|
| 797 |
+
<utf8_replace_mode value="replace" />
|
| 798 |
+
<with_detokenizer value="True" />
|
| 799 |
+
</rt_info>
|
| 800 |
+
</net>
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<｜begin▁of▁sentence｜>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<｜end▁of▁sentence｜>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<｜end▁of▁sentence｜>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
|
| 3 |
+
size 11422778
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"151643": {
|
| 7 |
+
"content": "<｜end▁of▁sentence｜>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"151644": {
|
| 15 |
+
"content": "<｜User｜>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": false
|
| 21 |
+
},
|
| 22 |
+
"151645": {
|
| 23 |
+
"content": "<｜Assistant｜>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": false
|
| 29 |
+
},
|
| 30 |
+
"151646": {
|
| 31 |
+
"content": "<｜begin▁of▁sentence｜>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"151647": {
|
| 39 |
+
"content": "<|EOT|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
},
|
| 46 |
+
"151648": {
|
| 47 |
+
"content": "<think>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": false
|
| 53 |
+
},
|
| 54 |
+
"151649": {
|
| 55 |
+
"content": "</think>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": false
|
| 61 |
+
},
|
| 62 |
+
"151650": {
|
| 63 |
+
"content": "<|quad_start|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"151651": {
|
| 71 |
+
"content": "<|quad_end|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"151652": {
|
| 79 |
+
"content": "<|vision_start|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"151653": {
|
| 87 |
+
"content": "<|vision_end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"151654": {
|
| 95 |
+
"content": "<|vision_pad|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"151655": {
|
| 103 |
+
"content": "<|image_pad|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"151656": {
|
| 111 |
+
"content": "<|video_pad|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"151657": {
|
| 119 |
+
"content": "<tool_call>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"151658": {
|
| 127 |
+
"content": "</tool_call>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"151659": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"151660": {
|
| 143 |
+
"content": "<|fim_middle|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"151661": {
|
| 151 |
+
"content": "<|fim_suffix|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"151662": {
|
| 159 |
+
"content": "<|fim_pad|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"151663": {
|
| 167 |
+
"content": "<|repo_name|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"151664": {
|
| 175 |
+
"content": "<|file_sep|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
}
|
| 182 |
+
},
|
| 183 |
+
"bos_token": "<｜begin▁of▁sentence｜>",
|
| 184 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin��>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\\n'}}{% endif %}",
|
| 185 |
+
"clean_up_tokenization_spaces": false,
|
| 186 |
+
"eos_token": "<｜end▁of▁sentence｜>",
|
| 187 |
+
"extra_special_tokens": {},
|
| 188 |
+
"legacy": true,
|
| 189 |
+
"model_max_length": 16384,
|
| 190 |
+
"pad_token": "<｜end▁of▁sentence｜>",
|
| 191 |
+
"sp_model_kwargs": {},
|
| 192 |
+
"tokenizer_class": "LlamaTokenizerFast",
|
| 193 |
+
"unk_token": null,
|
| 194 |
+
"use_default_system_prompt": false
|
| 195 |
+
}
|