Upload folder using huggingface_hub
Browse files- README.md +73 -0
- added_tokens.json +24 -0
- config.json +33 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +0 -0
- tokenizer_config.json +207 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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pipeline_tag: text-generation
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inference: true
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widget:
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- text: Hello!
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example_title: Hello world
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group: Python
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---
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This model is for debugging. It is randomly initialized using the config from [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) but with smaller size.
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Codes:
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```python
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import transformers
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import torch
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import os
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from huggingface_hub import create_repo, upload_folder
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import accelerate
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model_id = 'Qwen/Qwen2.5-72B-Instruct'
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save_path = '/tmp/yujiepan/qwen2.5-128k-tiny-random'
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repo_id = 'yujiepan/qwen2.5-128k-tiny-random'
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os.system(f'rm -rf {save_path}')
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config = transformers.AutoConfig.from_pretrained(
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model_id,
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trust_remote_code=True,
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)
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config._name_or_path = model_id
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config.hidden_size = 8
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config.intermediate_size = 16
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config.num_key_value_heads = 2
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config.num_attention_heads = 4
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config.num_hidden_layers = 2
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config.max_window_layers = 1
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config.rope_scaling = {
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"factor": 4.0,
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"original_max_position_embeddings": 32768,
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"type": "yarn"
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}
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transformers.set_seed(42)
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model = transformers.AutoModelForCausalLM.from_config(
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config,
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trust_remote_code=True,
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)
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model.generation_config = transformers.GenerationConfig.from_pretrained(
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model_id)
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model = model.to(torch.bfloat16)
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transformers.set_seed(42)
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with torch.no_grad():
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for p in model.parameters():
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torch.nn.init.normal_(p)
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model.save_pretrained(save_path)
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tokenizer = transformers.AutoTokenizer.from_pretrained(
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model_id,
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trust_remote_code=True,
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)
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tokenizer.save_pretrained(save_path)
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output = model.float().generate(torch.tensor(
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[[1, 2, 3]]).long(), max_length=16, do_sample=True)
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os.system(f'ls -alh {save_path}')
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# os.system(f'rm -rf {save_path}/model.safetensors')
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# create_repo(repo_id, exist_ok=True)
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# upload_folder(repo_id=repo_id, folder_path=save_path)
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```
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added_tokens.json
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2.5-72B-Instruct",
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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": 151645,
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"hidden_act": "silu",
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"hidden_size": 8,
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"initializer_range": 0.02,
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"intermediate_size": 16,
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"max_position_embeddings": 32768,
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"max_window_layers": 1,
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"model_type": "qwen2",
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"num_attention_heads": 4,
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"num_hidden_layers": 2,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"factor": 4.0,
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"original_max_position_embeddings": 32768,
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"type": "yarn"
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},
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"rope_theta": 1000000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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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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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.38.2"
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}
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merges.txt
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The diff for this file is too large to render.
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:de519377d9979c8d2faf6c299702790a64c7eb402b8e2c93814634197514ea0c
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size 4871288
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": false,
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"add_prefix_space": false,
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4 |
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"added_tokens_decoder": {
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5 |
+
"151643": {
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"content": "<|endoftext|>",
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7 |
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"lstrip": false,
|
8 |
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"normalized": false,
|
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
|
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
|
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"lstrip": false,
|
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"normalized": false,
|
25 |
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"rstrip": false,
|
26 |
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"single_word": false,
|
27 |
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"special": true
|
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},
|
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+
"151646": {
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"content": "<|object_ref_start|>",
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"lstrip": false,
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32 |
+
"normalized": false,
|
33 |
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"rstrip": false,
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"single_word": false,
|
35 |
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"special": true
|
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},
|
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"151647": {
|
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"content": "<|object_ref_end|>",
|
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"lstrip": false,
|
40 |
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"normalized": false,
|
41 |
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"rstrip": false,
|
42 |
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"single_word": false,
|
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"special": true
|
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},
|
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"151648": {
|
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"content": "<|box_start|>",
|
47 |
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"lstrip": false,
|
48 |
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"normalized": false,
|
49 |
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"rstrip": false,
|
50 |
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"single_word": false,
|
51 |
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"special": true
|
52 |
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},
|
53 |
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"151649": {
|
54 |
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"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
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"normalized": false,
|
57 |
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"rstrip": false,
|
58 |
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"single_word": false,
|
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"special": true
|
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},
|
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"151650": {
|
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"content": "<|quad_start|>",
|
63 |
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"lstrip": false,
|
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"normalized": false,
|
65 |
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"rstrip": false,
|
66 |
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"single_word": false,
|
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"special": true
|
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},
|
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"151651": {
|
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"content": "<|quad_end|>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
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},
|
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"151652": {
|
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"content": "<|vision_start|>",
|
79 |
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"lstrip": false,
|
80 |
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"normalized": false,
|
81 |
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
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},
|
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"151653": {
|
86 |
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"content": "<|vision_end|>",
|
87 |
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"lstrip": false,
|
88 |
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"normalized": false,
|
89 |
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"rstrip": false,
|
90 |
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"single_word": false,
|
91 |
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"special": true
|
92 |
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},
|
93 |
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"151654": {
|
94 |
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"content": "<|vision_pad|>",
|
95 |
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"lstrip": false,
|
96 |
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"normalized": false,
|
97 |
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"rstrip": false,
|
98 |
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"single_word": false,
|
99 |
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"special": true
|
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},
|
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"151655": {
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"content": "<|image_pad|>",
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103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"split_special_tokens": false,
|
205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
206 |
+
"unk_token": null
|
207 |
+
}
|
vocab.json
ADDED
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|
|