Upload 13 files
Browse files- README.md +192 -3
- config.json +28 -0
- generation_config.json +6 -0
- model.yaml +9 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +219 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +943 -0
- special_tokens_map.json +16 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2062 -0
README.md
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---
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license: llama3
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---
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B
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tags:
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- openchat
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- llama3
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- C-RLFT
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library_name: transformers
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pipeline_tag: text-generation
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---
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# OpenVINO IR model with int4 quantization
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Model definition for LocalAI:
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```yaml
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name: openchat-3.6
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backend: transformers
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parameters:
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model: fakezeta/openchat-3.6-8b-20240522-ov-int8
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context_size: 8192
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type: OVModelForCausalLM
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template:
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use_tokenizer_template: true
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```
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To run the model directly with LocalAI:
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```
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local-ai run huggingface://fakezeta/openchat-3.6-8b-20240522-ov-int4/model.yaml
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```
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<div align="center">
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<img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/logo_new.png" style="width: 65%">
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<h1>Advancing Open-source Language Models with Mixed-Quality Data</h1>
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</div>
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<p align="center" style="margin-top: 0px;">
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<a href="https://openchat.team">
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<img src="https://github.com/alpayariyak/openchat/blob/master/assets/logo_nobg.png?raw=true" alt="OpenChat Logo" style="width:20px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 10px; margin-top: 0px; margin-bottom: 0px;"/>
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<span class="link-text" style=" margin-right: 5px;">Online Demo</span>
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</a> |
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<a href="https://github.com/imoneoi/openchat">
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<img src="https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" alt="GitHub Logo" style="width:20px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 5px; margin-top: 0px; margin-bottom: 0px;"/>
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<span class="link-text" style=" margin-right: 5px;">GitHub</span>
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</a> |
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<a href="https://arxiv.org/pdf/2309.11235.pdf">
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<img src="https://github.com/alpayariyak/openchat/blob/master/assets/arxiv-logomark-small-square-border.png?raw=true" alt="ArXiv Logo" style="width:20px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 5px; margin-top: 0px; margin-bottom: 0px;"/>
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<span class="link-text" style="margin-right: 5px;">Paper</span>
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</a> |
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<a href="https://discord.gg/pQjnXvNKHY">
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<img src="https://cloud.githubusercontent.com/assets/6291467/26705903/96c2d66e-477c-11e7-9f4e-f3c0efe96c9a.png" alt="Discord Logo" style="width:20px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 5px; margin-top: 0px; margin-bottom: 0px;"/>
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<span class="link-text">Discord</span>
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</a>
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</p>
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<p align="center" style="margin-top: 0px;">
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<span class="link-text" style=" margin-right: 0px; font-size: 0.8em">Sponsored by RunPod</span>
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<img src="https://styles.redditmedia.com/t5_6075m3/styles/profileIcon_71syco7c5lt81.png?width=256&height=256&frame=1&auto=webp&crop=256:256,smart&s=24bd3c71dc11edc5d4f88d0cbc1da72ed7ae1969" alt="RunPod Logo" style="width:30px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 5px; margin-top: 0px; margin-bottom: 0px;"/>
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</p>
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<div style="background-color: white; padding: 0.7em; border-radius: 0.5em; color: black; display: flex; flex-direction: column; justify-content: center; text-align: center">
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<a href="https://huggingface.co/openchat/openchat-3.5-0106" style="text-decoration: none; color: black;">
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<span style="font-size: 1.7em; font-family: 'Helvetica'; letter-spacing: 0.1em; font-weight: bold; color: black;">Llama 3 Version: OPENCHAT</span><span style="font-size: 1.8em; font-family: 'Helvetica'; color: #3c72db; ">3.6</span>
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<span style="font-size: 1.0em; font-family: 'Helvetica'; color: white; background-color: #90e0ef; vertical-align: top; border-radius: 6em; padding: 0.066em 0.4em; letter-spacing: 0.1em; font-weight: bold;">20240522</span>
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<span style="font-size: 0.85em; font-family: 'Helvetica'; color: black;">
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<br> 🏆 The Overall Best Performing Open-source 8B Model 🏆
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<br> 🚀 Outperforms Llama-3-8B-Instruct and open-source finetunes/merges 🚀
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</span>
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</a>
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</div>
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<div style="display: flex; justify-content: center; align-items: center; width: 110%; margin-left: -5%;">
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<img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/benchmarks-openchat-3.6-20240522.svg" style="width: 100%; border-radius: 1em">
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</div>
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<div style="display: flex; justify-content: center; align-items: center">
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<p>* Llama-3-Instruct often fails to follow the few-shot templates.</p>
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</div>
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<div align="center">
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<h2> Usage </h2>
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</div>
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To use this model, we highly recommend installing the OpenChat package by following the [installation guide](https://github.com/imoneoi/openchat#installation) in our repository and using the OpenChat OpenAI-compatible API server by running the serving command from the table below. The server is optimized for high-throughput deployment using [vLLM](https://github.com/vllm-project/vllm) and can run on a consumer GPU with 24GB RAM. To enable tensor parallelism, append `--tensor-parallel-size N` to the serving command.
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Once started, the server listens at `localhost:18888` for requests and is compatible with the [OpenAI ChatCompletion API specifications](https://platform.openai.com/docs/api-reference/chat). Please refer to the example request below for reference. Additionally, you can use the [OpenChat Web UI](https://github.com/imoneoi/openchat#web-ui) for a user-friendly experience.
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If you want to deploy the server as an online service, you can use `--api-keys sk-KEY1 sk-KEY2 ...` to specify allowed API keys and `--disable-log-requests --disable-log-stats --log-file openchat.log` for logging only to a file. For security purposes, we recommend using an [HTTPS gateway](https://fastapi.tiangolo.com/es/deployment/concepts/#security-https) in front of the server.
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| Model | Size | Context | Weights | Serving |
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|-----------------------|------|---------|-------------------------------------------------------------------------|---------------------------------------------------------------------------------------|
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| OpenChat-3.6-20240522 | 8B | 8192 | [Huggingface](https://huggingface.co/openchat/openchat-3.6-8b-20240522) | `python -m ochat.serving.openai_api_server --model openchat/openchat-3.6-8b-20240522` |
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<details>
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<summary>Example request (click to expand)</summary>
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```bash
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curl http://localhost:18888/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "openchat_3.6",
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"messages": [{"role": "user", "content": "You are a large language model named OpenChat. Write a poem to describe yourself"}]
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}'
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```
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</details>
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### Conversation templates
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💡 **Default Mode**: Best for coding, chat and general tasks
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```
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GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi<|end_of_turn|>GPT4 Correct User: How are you today?<|end_of_turn|>GPT4 Correct Assistant:
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```
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⚠️ **Notice:** Remember to set `<|end_of_turn|>` as end of generation token.
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The default template is also available as the integrated `tokenizer.chat_template`, which can be used instead of manually specifying the template:
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```python
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messages = [
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{"role": "user", "content": "Hello"},
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{"role": "assistant", "content": "Hi"},
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{"role": "user", "content": "How are you today?"}
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]
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tokens = tokenizer.apply_chat_template(messages, add_generation_prompt=True)
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```
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## Inference using Transformers
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_id = "openchat/openchat-3.6-8b-20240522"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
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messages = [
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{"role": "user", "content": "Explain how large language models work in detail."},
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]
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input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
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outputs = model.generate(input_ids,
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do_sample=True,
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temperature=0.5,
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max_new_tokens=1024
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)
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response = outputs[0][input_ids.shape[-1]:]
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print(tokenizer.decode(response, skip_special_tokens=True))
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```
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<div align="center">
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<h2> Limitations </h2>
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</div>
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**Foundation Model Limitations**
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Despite its advanced capabilities, OpenChat is still bound by the limitations inherent in its foundation models. These limitations may impact the model's performance in areas such as:
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- Complex reasoning
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- Mathematical and arithmetic tasks
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- Programming and coding challenges
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**Hallucination of Non-existent Information**
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OpenChat may sometimes generate information that does not exist or is not accurate, also known as "hallucination". Users should be aware of this possibility and verify any critical information obtained from the model.
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**Safety**
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OpenChat may sometimes generate harmful, hate speech, biased responses, or answer unsafe questions. It's crucial to apply additional AI safety measures in use cases that require safe and moderated responses.
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<div align="center">
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<h2> 💌 Contact </h2>
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</div>
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We look forward to hearing from you and collaborating on this exciting project!
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**Project Lead:**
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- Guan Wang [imonenext at gmail dot com]
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- [Alpay Ariyak](https://github.com/alpayariyak) [aariyak at wpi dot edu]
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<div align="center">
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<h2> Citation </h2>
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</div>
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```
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@article{wang2023openchat,
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title={OpenChat: Advancing Open-source Language Models with Mixed-Quality Data},
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author={Wang, Guan and Cheng, Sijie and Zhan, Xianyuan and Li, Xiangang and Song, Sen and Liu, Yang},
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journal={arXiv preprint arXiv:2309.11235},
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year={2023}
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}
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```
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config.json
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{
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"_name_or_path": "openchat/openchat-3.6-8b-20240522",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"transformers_version": "4.41.2",
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"use_cache": true,
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"vocab_size": 128256
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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": 128000,
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"eos_token_id": 128001,
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"transformers_version": "4.41.2"
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}
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model.yaml
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name: openchat-3.6
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backend: transformers
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parameters:
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model: fakezeta/openchat-3.6-8b-20240522-ov-int4
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context_size: 8192
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type: OVModelForCausalLM
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template:
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use_tokenizer_template: true
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d1c1a9143e35a173f499bcbc34c5aba3382a3ddad209dd8f365aceaa22ba211
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size 1586526
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openvino_detokenizer.xml
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|
|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="detokenizer" version="11">
|
3 |
+
<layers>
|
4 |
+
<layer id="0" name="Parameter_228899" type="Parameter" version="opset1">
|
5 |
+
<data shape="?,?" element_type="i64" />
|
6 |
+
<output>
|
7 |
+
<port id="0" precision="I64" names="Parameter_228899">
|
8 |
+
<dim>-1</dim>
|
9 |
+
<dim>-1</dim>
|
10 |
+
</port>
|
11 |
+
</output>
|
12 |
+
</layer>
|
13 |
+
<layer id="1" name="Convert_228915" type="Convert" version="opset1">
|
14 |
+
<data destination_type="i32" />
|
15 |
+
<input>
|
16 |
+
<port id="0" precision="I64">
|
17 |
+
<dim>-1</dim>
|
18 |
+
<dim>-1</dim>
|
19 |
+
</port>
|
20 |
+
</input>
|
21 |
+
<output>
|
22 |
+
<port id="1" precision="I32">
|
23 |
+
<dim>-1</dim>
|
24 |
+
<dim>-1</dim>
|
25 |
+
</port>
|
26 |
+
</output>
|
27 |
+
</layer>
|
28 |
+
<layer id="2" name="Constant_228794" type="Const" version="opset1">
|
29 |
+
<data element_type="u8" shape="1586477" offset="0" size="1586477" />
|
30 |
+
<output>
|
31 |
+
<port id="0" precision="U8">
|
32 |
+
<dim>1586477</dim>
|
33 |
+
</port>
|
34 |
+
</output>
|
35 |
+
</layer>
|
36 |
+
<layer id="3" name="StringTensorUnpack_228795" type="StringTensorUnpack" version="extension">
|
37 |
+
<data mode="begins_ends" />
|
38 |
+
<input>
|
39 |
+
<port id="0" precision="U8">
|
40 |
+
<dim>1586477</dim>
|
41 |
+
</port>
|
42 |
+
</input>
|
43 |
+
<output>
|
44 |
+
<port id="1" precision="I32">
|
45 |
+
<dim>-1</dim>
|
46 |
+
</port>
|
47 |
+
<port id="2" precision="I32">
|
48 |
+
<dim>-1</dim>
|
49 |
+
</port>
|
50 |
+
<port id="3" precision="U8">
|
51 |
+
<dim>-1</dim>
|
52 |
+
</port>
|
53 |
+
</output>
|
54 |
+
</layer>
|
55 |
+
<layer id="4" name="VocabDecoder_228900" type="VocabDecoder" version="extension">
|
56 |
+
<data skip_tokens="128000, 128001, 128002, 128003, 128004, 128005, 128006, 128007, 128008, 128009, 128010, 128011, 128012, 128013, 128014, 128015, 128016, 128017, 128018, 128019, 128020, 128021, 128022, 128023, 128024, 128025, 128026, 128027, 128028, 128029, 128030, 128031, 128032, 128033, 128034, 128035, 128036, 128037, 128038, 128039, 128040, 128041, 128042, 128043, 128044, 128045, 128046, 128047, 128048, 128049, 128050, 128051, 128052, 128053, 128054, 128055, 128056, 128057, 128058, 128059, 128060, 128061, 128062, 128063, 128064, 128065, 128066, 128067, 128068, 128069, 128070, 128071, 128072, 128073, 128074, 128075, 128076, 128077, 128078, 128079, 128080, 128081, 128082, 128083, 128084, 128085, 128086, 128087, 128088, 128089, 128090, 128091, 128092, 128093, 128094, 128095, 128096, 128097, 128098, 128099, 128100, 128101, 128102, 128103, 128104, 128105, 128106, 128107, 128108, 128109, 128110, 128111, 128112, 128113, 128114, 128115, 128116, 128117, 128118, 128119, 128120, 128121, 128122, 128123, 128124, 128125, 128126, 128127, 128128, 128129, 128130, 128131, 128132, 128133, 128134, 128135, 128136, 128137, 128138, 128139, 128140, 128141, 128142, 128143, 128144, 128145, 128146, 128147, 128148, 128149, 128150, 128151, 128152, 128153, 128154, 128155, 128156, 128157, 128158, 128159, 128160, 128161, 128162, 128163, 128164, 128165, 128166, 128167, 128168, 128169, 128170, 128171, 128172, 128173, 128174, 128175, 128176, 128177, 128178, 128179, 128180, 128181, 128182, 128183, 128184, 128185, 128186, 128187, 128188, 128189, 128190, 128191, 128192, 128193, 128194, 128195, 128196, 128197, 128198, 128199, 128200, 128201, 128202, 128203, 128204, 128205, 128206, 128207, 128208, 128209, 128210, 128211, 128212, 128213, 128214, 128215, 128216, 128217, 128218, 128219, 128220, 128221, 128222, 128223, 128224, 128225, 128226, 128227, 128228, 128229, 128230, 128231, 128232, 128233, 128234, 128235, 128236, 128237, 128238, 128239, 128240, 128241, 128242, 128243, 128244, 128245, 128246, 128247, 128248, 128249, 128250, 128251, 128252, 128253, 128254, 128255" />
|
57 |
+
<input>
|
58 |
+
<port id="0" precision="I32">
|
59 |
+
<dim>-1</dim>
|
60 |
+
<dim>-1</dim>
|
61 |
+
</port>
|
62 |
+
<port id="1" precision="I32">
|
63 |
+
<dim>-1</dim>
|
64 |
+
</port>
|
65 |
+
<port id="2" precision="I32">
|
66 |
+
<dim>-1</dim>
|
67 |
+
</port>
|
68 |
+
<port id="3" precision="U8">
|
69 |
+
<dim>-1</dim>
|
70 |
+
</port>
|
71 |
+
</input>
|
72 |
+
<output>
|
73 |
+
<port id="4" precision="I32">
|
74 |
+
<dim>-1</dim>
|
75 |
+
</port>
|
76 |
+
<port id="5" precision="I32">
|
77 |
+
<dim>-1</dim>
|
78 |
+
</port>
|
79 |
+
<port id="6" precision="I32">
|
80 |
+
<dim>-1</dim>
|
81 |
+
</port>
|
82 |
+
<port id="7" precision="I32">
|
83 |
+
<dim>-1</dim>
|
84 |
+
</port>
|
85 |
+
<port id="8" precision="U8">
|
86 |
+
<dim>-1</dim>
|
87 |
+
</port>
|
88 |
+
</output>
|
89 |
+
</layer>
|
90 |
+
<layer id="5" name="CharsToBytes_228901" type="CharsToBytes" version="extension">
|
91 |
+
<input>
|
92 |
+
<port id="0" precision="I32">
|
93 |
+
<dim>-1</dim>
|
94 |
+
</port>
|
95 |
+
<port id="1" precision="I32">
|
96 |
+
<dim>-1</dim>
|
97 |
+
</port>
|
98 |
+
<port id="2" precision="I32">
|
99 |
+
<dim>-1</dim>
|
100 |
+
</port>
|
101 |
+
<port id="3" precision="I32">
|
102 |
+
<dim>-1</dim>
|
103 |
+
</port>
|
104 |
+
<port id="4" precision="U8">
|
105 |
+
<dim>-1</dim>
|
106 |
+
</port>
|
107 |
+
</input>
|
108 |
+
<output>
|
109 |
+
<port id="5" precision="I32">
|
110 |
+
<dim>-1</dim>
|
111 |
+
</port>
|
112 |
+
<port id="6" precision="I32">
|
113 |
+
<dim>-1</dim>
|
114 |
+
</port>
|
115 |
+
<port id="7" precision="U8">
|
116 |
+
<dim>-1</dim>
|
117 |
+
</port>
|
118 |
+
</output>
|
119 |
+
</layer>
|
120 |
+
<layer id="6" name="Constant_228903" type="Const" version="opset1">
|
121 |
+
<data element_type="u8" shape="47" offset="1586477" size="47" />
|
122 |
+
<output>
|
123 |
+
<port id="0" precision="U8">
|
124 |
+
<dim>47</dim>
|
125 |
+
</port>
|
126 |
+
</output>
|
127 |
+
</layer>
|
128 |
+
<layer id="7" name="Constant_228905" type="Const" version="opset1">
|
129 |
+
<data element_type="u8" shape="2" offset="1586524" size="2" />
|
130 |
+
<output>
|
131 |
+
<port id="0" precision="U8">
|
132 |
+
<dim>2</dim>
|
133 |
+
</port>
|
134 |
+
</output>
|
135 |
+
</layer>
|
136 |
+
<layer id="8" name="RegexNormalization_228906" type="RegexNormalization" version="extension">
|
137 |
+
<data global_replace="true" />
|
138 |
+
<input>
|
139 |
+
<port id="0" precision="I32">
|
140 |
+
<dim>-1</dim>
|
141 |
+
</port>
|
142 |
+
<port id="1" precision="I32">
|
143 |
+
<dim>-1</dim>
|
144 |
+
</port>
|
145 |
+
<port id="2" precision="U8">
|
146 |
+
<dim>-1</dim>
|
147 |
+
</port>
|
148 |
+
<port id="3" precision="U8">
|
149 |
+
<dim>47</dim>
|
150 |
+
</port>
|
151 |
+
<port id="4" precision="U8">
|
152 |
+
<dim>2</dim>
|
153 |
+
</port>
|
154 |
+
</input>
|
155 |
+
<output>
|
156 |
+
<port id="5" precision="I32">
|
157 |
+
<dim>-1</dim>
|
158 |
+
</port>
|
159 |
+
<port id="6" precision="I32">
|
160 |
+
<dim>-1</dim>
|
161 |
+
</port>
|
162 |
+
<port id="7" precision="U8">
|
163 |
+
<dim>-1</dim>
|
164 |
+
</port>
|
165 |
+
</output>
|
166 |
+
</layer>
|
167 |
+
<layer id="9" name="StringTensorPack_228907" type="StringTensorPack" version="extension">
|
168 |
+
<data mode="begins_ends" />
|
169 |
+
<input>
|
170 |
+
<port id="0" precision="I32">
|
171 |
+
<dim>-1</dim>
|
172 |
+
</port>
|
173 |
+
<port id="1" precision="I32">
|
174 |
+
<dim>-1</dim>
|
175 |
+
</port>
|
176 |
+
<port id="2" precision="U8">
|
177 |
+
<dim>-1</dim>
|
178 |
+
</port>
|
179 |
+
</input>
|
180 |
+
<output>
|
181 |
+
<port id="3" precision="STRING" names="string_output">
|
182 |
+
<dim>-1</dim>
|
183 |
+
</port>
|
184 |
+
</output>
|
185 |
+
</layer>
|
186 |
+
<layer id="10" name="Result_228908" type="Result" version="opset1">
|
187 |
+
<input>
|
188 |
+
<port id="0" precision="STRING">
|
189 |
+
<dim>-1</dim>
|
190 |
+
</port>
|
191 |
+
</input>
|
192 |
+
</layer>
|
193 |
+
</layers>
|
194 |
+
<edges>
|
195 |
+
<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
|
196 |
+
<edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
|
197 |
+
<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
198 |
+
<edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
|
199 |
+
<edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
|
200 |
+
<edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
|
201 |
+
<edge from-layer="4" from-port="8" to-layer="5" to-port="4" />
|
202 |
+
<edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
|
203 |
+
<edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
|
204 |
+
<edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
|
205 |
+
<edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
|
206 |
+
<edge from-layer="5" from-port="5" to-layer="8" to-port="0" />
|
207 |
+
<edge from-layer="5" from-port="6" to-layer="8" to-port="1" />
|
208 |
+
<edge from-layer="5" from-port="7" to-layer="8" to-port="2" />
|
209 |
+
<edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
|
210 |
+
<edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
|
211 |
+
<edge from-layer="8" from-port="5" to-layer="9" to-port="0" />
|
212 |
+
<edge from-layer="8" from-port="6" to-layer="9" to-port="1" />
|
213 |
+
<edge from-layer="8" from-port="7" to-layer="9" to-port="2" />
|
214 |
+
<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
|
215 |
+
</edges>
|
216 |
+
<rt_info>
|
217 |
+
<eos_token_id value="128009" />
|
218 |
+
</rt_info>
|
219 |
+
</net>
|
openvino_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8403637394ad87eec5baff87a9a73f7b20ed82b6612faa73323af496a3775a43
|
3 |
+
size 5354616032
|
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 sha256:48bcca99f539faa4dc575ba4d05f4901d69d0c46e78ab38f2491ce099bdafa2c
|
3 |
+
size 5689145
|
openvino_tokenizer.xml
ADDED
@@ -0,0 +1,943 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
|
3 |
+
<layers>
|
4 |
+
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5 |
+
<data shape="?" element_type="string" />
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6 |
+
<output>
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7 |
+
<port id="0" precision="STRING" names="Parameter_228707">
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8 |
+
<dim>-1</dim>
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9 |
+
</port>
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10 |
+
</output>
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11 |
+
</layer>
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12 |
+
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13 |
+
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14 |
+
<output>
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15 |
+
<port id="0" precision="I32" />
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16 |
+
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17 |
+
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18 |
+
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19 |
+
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20 |
+
<output>
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21 |
+
<port id="0" precision="I32" />
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22 |
+
</output>
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23 |
+
</layer>
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24 |
+
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25 |
+
<data element_type="i32" shape="1" offset="8" size="4" />
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26 |
+
<output>
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27 |
+
<port id="0" precision="I32">
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28 |
+
<dim>1</dim>
|
29 |
+
</port>
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30 |
+
</output>
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31 |
+
</layer>
|
32 |
+
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33 |
+
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34 |
+
<output>
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35 |
+
<port id="0" precision="I64" />
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36 |
+
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37 |
+
</layer>
|
38 |
+
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39 |
+
<data mode="begins_ends" />
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40 |
+
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41 |
+
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42 |
+
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43 |
+
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44 |
+
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45 |
+
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46 |
+
<port id="1" precision="I32">
|
47 |
+
<dim>-1</dim>
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48 |
+
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49 |
+
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50 |
+
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|
51 |
+
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52 |
+
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|
53 |
+
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54 |
+
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55 |
+
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56 |
+
</layer>
|
57 |
+
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58 |
+
<data output_type="i64" />
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59 |
+
<input>
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60 |
+
<port id="0" precision="I32">
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61 |
+
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62 |
+
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63 |
+
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64 |
+
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65 |
+
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66 |
+
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67 |
+
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68 |
+
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69 |
+
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70 |
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71 |
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72 |
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73 |
+
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74 |
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75 |
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76 |
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77 |
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78 |
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79 |
+
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80 |
+
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81 |
+
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82 |
+
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83 |
+
<data batch_dims="0" />
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84 |
+
<input>
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85 |
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86 |
+
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87 |
+
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88 |
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89 |
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90 |
+
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91 |
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92 |
+
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93 |
+
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94 |
+
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95 |
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96 |
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97 |
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98 |
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99 |
+
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100 |
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101 |
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102 |
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103 |
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104 |
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105 |
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106 |
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107 |
+
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108 |
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109 |
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110 |
+
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111 |
+
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112 |
+
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113 |
+
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|
114 |
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115 |
+
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116 |
+
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117 |
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118 |
+
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119 |
+
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|
120 |
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121 |
+
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122 |
+
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|
123 |
+
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|
124 |
+
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|
125 |
+
</layer>
|
126 |
+
<layer id="14" name="Add_228719" type="Add" version="opset1">
|
127 |
+
<data auto_broadcast="numpy" />
|
128 |
+
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|
129 |
+
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|
130 |
+
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|
131 |
+
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|
132 |
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|
133 |
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|
134 |
+
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|
135 |
+
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|
136 |
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|
137 |
+
<data element_type="i64" shape="" offset="20" size="8" />
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138 |
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|
139 |
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|
140 |
+
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|
141 |
+
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|
142 |
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|
143 |
+
<data output_type="i32" />
|
144 |
+
<input>
|
145 |
+
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|
146 |
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|
147 |
+
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|
148 |
+
</input>
|
149 |
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<output>
|
150 |
+
<port id="3" precision="I32">
|
151 |
+
<dim>-1</dim>
|
152 |
+
</port>
|
153 |
+
</output>
|
154 |
+
</layer>
|
155 |
+
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|
156 |
+
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157 |
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158 |
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<port id="0" precision="U8">
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159 |
+
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|
160 |
+
</port>
|
161 |
+
</output>
|
162 |
+
</layer>
|
163 |
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<layer id="18" name="RegexSplit_228785" type="RegexSplit" version="extension">
|
164 |
+
<data behaviour="isolate" invert="false" max_splits="-1" />
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165 |
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<input>
|
166 |
+
<port id="0" precision="I32">
|
167 |
+
<dim>-1</dim>
|
168 |
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169 |
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|
170 |
+
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|
171 |
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172 |
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<port id="2" precision="I32">
|
173 |
+
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174 |
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175 |
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<port id="3" precision="I32">
|
176 |
+
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|
177 |
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178 |
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<port id="4" precision="U8">
|
179 |
+
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|
180 |
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181 |
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<port id="5" precision="U8">
|
182 |
+
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|
183 |
+
</port>
|
184 |
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<edge from-layer="50" from-port="8" to-layer="51" to-port="0" />
|
926 |
+
<edge from-layer="50" from-port="7" to-layer="51" to-port="1" />
|
927 |
+
<edge from-layer="50" from-port="7" to-layer="55" to-port="0" />
|
928 |
+
<edge from-layer="50" from-port="8" to-layer="55" to-port="1" />
|
929 |
+
<edge from-layer="50" from-port="9" to-layer="55" to-port="2" />
|
930 |
+
<edge from-layer="51" from-port="2" to-layer="53" to-port="0" />
|
931 |
+
<edge from-layer="52" from-port="0" to-layer="53" to-port="1" />
|
932 |
+
<edge from-layer="53" from-port="2" to-layer="55" to-port="3" />
|
933 |
+
<edge from-layer="54" from-port="0" to-layer="55" to-port="4" />
|
934 |
+
<edge from-layer="55" from-port="6" to-layer="56" to-port="0" />
|
935 |
+
<edge from-layer="55" from-port="5" to-layer="59" to-port="0" />
|
936 |
+
<edge from-layer="56" from-port="1" to-layer="57" to-port="0" />
|
937 |
+
<edge from-layer="57" from-port="1" to-layer="58" to-port="0" />
|
938 |
+
<edge from-layer="59" from-port="1" to-layer="60" to-port="0" />
|
939 |
+
</edges>
|
940 |
+
<rt_info>
|
941 |
+
<eos_token_id value="128009" />
|
942 |
+
</rt_info>
|
943 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,16 @@
|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|begin_of_text|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|eot_id|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
}
|
16 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,2062 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
"content": "<|begin_of_text|>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"128001": {
|
12 |
+
"content": "<|end_of_text|>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"128002": {
|
20 |
+
"content": "<|reserved_special_token_0|>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"128003": {
|
28 |
+
"content": "<|reserved_special_token_1|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128004": {
|
36 |
+
"content": "<|reserved_special_token_2|>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"128005": {
|
44 |
+
"content": "<|reserved_special_token_3|>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"128006": {
|
52 |
+
"content": "<|start_header_id|>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"128007": {
|
60 |
+
"content": "<|end_header_id|>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"128008": {
|
68 |
+
"content": "<|reserved_special_token_4|>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"128009": {
|
76 |
+
"content": "<|eot_id|>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"128010": {
|
84 |
+
"content": "<|reserved_special_token_5|>",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
},
|
91 |
+
"128011": {
|
92 |
+
"content": "<|reserved_special_token_6|>",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": false,
|
96 |
+
"single_word": false,
|
97 |
+
"special": true
|
98 |
+
},
|
99 |
+
"128012": {
|
100 |
+
"content": "<|reserved_special_token_7|>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
+
"128013": {
|
108 |
+
"content": "<|reserved_special_token_8|>",
|
109 |
+
"lstrip": false,
|
110 |
+
"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
+
"128014": {
|
116 |
+
"content": "<|reserved_special_token_9|>",
|
117 |
+
"lstrip": false,
|
118 |
+
"normalized": false,
|
119 |
+
"rstrip": false,
|
120 |
+
"single_word": false,
|
121 |
+
"special": true
|
122 |
+
},
|
123 |
+
"128015": {
|
124 |
+
"content": "<|reserved_special_token_10|>",
|
125 |
+
"lstrip": false,
|
126 |
+
"normalized": false,
|
127 |
+
"rstrip": false,
|
128 |
+
"single_word": false,
|
129 |
+
"special": true
|
130 |
+
},
|
131 |
+
"128016": {
|
132 |
+
"content": "<|reserved_special_token_11|>",
|
133 |
+
"lstrip": false,
|
134 |
+
"normalized": false,
|
135 |
+
"rstrip": false,
|
136 |
+
"single_word": false,
|
137 |
+
"special": true
|
138 |
+
},
|
139 |
+
"128017": {
|
140 |
+
"content": "<|reserved_special_token_12|>",
|
141 |
+
"lstrip": false,
|
142 |
+
"normalized": false,
|
143 |
+
"rstrip": false,
|
144 |
+
"single_word": false,
|
145 |
+
"special": true
|
146 |
+
},
|
147 |
+
"128018": {
|
148 |
+
"content": "<|reserved_special_token_13|>",
|
149 |
+
"lstrip": false,
|
150 |
+
"normalized": false,
|
151 |
+
"rstrip": false,
|
152 |
+
"single_word": false,
|
153 |
+
"special": true
|
154 |
+
},
|
155 |
+
"128019": {
|
156 |
+
"content": "<|reserved_special_token_14|>",
|
157 |
+
"lstrip": false,
|
158 |
+
"normalized": false,
|
159 |
+
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"rstrip": false,
|
1904 |
+
"single_word": false,
|
1905 |
+
"special": true
|
1906 |
+
},
|
1907 |
+
"128238": {
|
1908 |
+
"content": "<|reserved_special_token_233|>",
|
1909 |
+
"lstrip": false,
|
1910 |
+
"normalized": false,
|
1911 |
+
"rstrip": false,
|
1912 |
+
"single_word": false,
|
1913 |
+
"special": true
|
1914 |
+
},
|
1915 |
+
"128239": {
|
1916 |
+
"content": "<|reserved_special_token_234|>",
|
1917 |
+
"lstrip": false,
|
1918 |
+
"normalized": false,
|
1919 |
+
"rstrip": false,
|
1920 |
+
"single_word": false,
|
1921 |
+
"special": true
|
1922 |
+
},
|
1923 |
+
"128240": {
|
1924 |
+
"content": "<|reserved_special_token_235|>",
|
1925 |
+
"lstrip": false,
|
1926 |
+
"normalized": false,
|
1927 |
+
"rstrip": false,
|
1928 |
+
"single_word": false,
|
1929 |
+
"special": true
|
1930 |
+
},
|
1931 |
+
"128241": {
|
1932 |
+
"content": "<|reserved_special_token_236|>",
|
1933 |
+
"lstrip": false,
|
1934 |
+
"normalized": false,
|
1935 |
+
"rstrip": false,
|
1936 |
+
"single_word": false,
|
1937 |
+
"special": true
|
1938 |
+
},
|
1939 |
+
"128242": {
|
1940 |
+
"content": "<|reserved_special_token_237|>",
|
1941 |
+
"lstrip": false,
|
1942 |
+
"normalized": false,
|
1943 |
+
"rstrip": false,
|
1944 |
+
"single_word": false,
|
1945 |
+
"special": true
|
1946 |
+
},
|
1947 |
+
"128243": {
|
1948 |
+
"content": "<|reserved_special_token_238|>",
|
1949 |
+
"lstrip": false,
|
1950 |
+
"normalized": false,
|
1951 |
+
"rstrip": false,
|
1952 |
+
"single_word": false,
|
1953 |
+
"special": true
|
1954 |
+
},
|
1955 |
+
"128244": {
|
1956 |
+
"content": "<|reserved_special_token_239|>",
|
1957 |
+
"lstrip": false,
|
1958 |
+
"normalized": false,
|
1959 |
+
"rstrip": false,
|
1960 |
+
"single_word": false,
|
1961 |
+
"special": true
|
1962 |
+
},
|
1963 |
+
"128245": {
|
1964 |
+
"content": "<|reserved_special_token_240|>",
|
1965 |
+
"lstrip": false,
|
1966 |
+
"normalized": false,
|
1967 |
+
"rstrip": false,
|
1968 |
+
"single_word": false,
|
1969 |
+
"special": true
|
1970 |
+
},
|
1971 |
+
"128246": {
|
1972 |
+
"content": "<|reserved_special_token_241|>",
|
1973 |
+
"lstrip": false,
|
1974 |
+
"normalized": false,
|
1975 |
+
"rstrip": false,
|
1976 |
+
"single_word": false,
|
1977 |
+
"special": true
|
1978 |
+
},
|
1979 |
+
"128247": {
|
1980 |
+
"content": "<|reserved_special_token_242|>",
|
1981 |
+
"lstrip": false,
|
1982 |
+
"normalized": false,
|
1983 |
+
"rstrip": false,
|
1984 |
+
"single_word": false,
|
1985 |
+
"special": true
|
1986 |
+
},
|
1987 |
+
"128248": {
|
1988 |
+
"content": "<|reserved_special_token_243|>",
|
1989 |
+
"lstrip": false,
|
1990 |
+
"normalized": false,
|
1991 |
+
"rstrip": false,
|
1992 |
+
"single_word": false,
|
1993 |
+
"special": true
|
1994 |
+
},
|
1995 |
+
"128249": {
|
1996 |
+
"content": "<|reserved_special_token_244|>",
|
1997 |
+
"lstrip": false,
|
1998 |
+
"normalized": false,
|
1999 |
+
"rstrip": false,
|
2000 |
+
"single_word": false,
|
2001 |
+
"special": true
|
2002 |
+
},
|
2003 |
+
"128250": {
|
2004 |
+
"content": "<|reserved_special_token_245|>",
|
2005 |
+
"lstrip": false,
|
2006 |
+
"normalized": false,
|
2007 |
+
"rstrip": false,
|
2008 |
+
"single_word": false,
|
2009 |
+
"special": true
|
2010 |
+
},
|
2011 |
+
"128251": {
|
2012 |
+
"content": "<|reserved_special_token_246|>",
|
2013 |
+
"lstrip": false,
|
2014 |
+
"normalized": false,
|
2015 |
+
"rstrip": false,
|
2016 |
+
"single_word": false,
|
2017 |
+
"special": true
|
2018 |
+
},
|
2019 |
+
"128252": {
|
2020 |
+
"content": "<|reserved_special_token_247|>",
|
2021 |
+
"lstrip": false,
|
2022 |
+
"normalized": false,
|
2023 |
+
"rstrip": false,
|
2024 |
+
"single_word": false,
|
2025 |
+
"special": true
|
2026 |
+
},
|
2027 |
+
"128253": {
|
2028 |
+
"content": "<|reserved_special_token_248|>",
|
2029 |
+
"lstrip": false,
|
2030 |
+
"normalized": false,
|
2031 |
+
"rstrip": false,
|
2032 |
+
"single_word": false,
|
2033 |
+
"special": true
|
2034 |
+
},
|
2035 |
+
"128254": {
|
2036 |
+
"content": "<|reserved_special_token_249|>",
|
2037 |
+
"lstrip": false,
|
2038 |
+
"normalized": false,
|
2039 |
+
"rstrip": false,
|
2040 |
+
"single_word": false,
|
2041 |
+
"special": true
|
2042 |
+
},
|
2043 |
+
"128255": {
|
2044 |
+
"content": "<|reserved_special_token_250|>",
|
2045 |
+
"lstrip": false,
|
2046 |
+
"normalized": false,
|
2047 |
+
"rstrip": false,
|
2048 |
+
"single_word": false,
|
2049 |
+
"special": true
|
2050 |
+
}
|
2051 |
+
},
|
2052 |
+
"bos_token": "<|begin_of_text|>",
|
2053 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] in ['user', 'assistant'] %}{% set content = '<|start_header_id|>GPT4 Correct ' + message['role'].title() + '<|end_header_id|>\n\n' + message['content'] | trim + '<|eot_id|>' %}{% elif message['role'] == 'system' %}{% set content = '<|start_header_id|>System<|end_header_id|>\n\n' + message['content'] | trim + '<|eot_id|>' %}{% else %}{{ raise_exception('Only user, assistant and system roles are supported!') }}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>GPT4 Correct Assistant<|end_header_id|>\n\n' }}{% endif %}",
|
2054 |
+
"clean_up_tokenization_spaces": true,
|
2055 |
+
"eos_token": "<|eot_id|>",
|
2056 |
+
"model_input_names": [
|
2057 |
+
"input_ids",
|
2058 |
+
"attention_mask"
|
2059 |
+
],
|
2060 |
+
"model_max_length": 1000000000000000019884624838656,
|
2061 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
2062 |
+
}
|