Upload folder using huggingface_hub
Browse files- README.md +78 -0
- config.json +61 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +162 -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 [deepseek-ai/DeepSeek-V2-Chat-0628](https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat-0628) but with smaller size.
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Codes:
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```python
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from huggingface_hub import create_repo, upload_folder
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from transformers import (
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pipeline,
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set_seed,
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AutoConfig,
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AutoModelForCausalLM,
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AutoTokenizer,
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GenerationConfig,
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)
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import torch
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import transformers
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import os
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model_id = "deepseek-ai/DeepSeek-V2-Chat-0628"
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repo_id = "yujiepan/deepseek-v2-0628-tiny-random"
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save_path = f"/tmp/{repo_id}"
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config = AutoConfig.from_pretrained(model_id, trust_remote_code=True)
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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.moe_intermediate_size = 4
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config.num_attention_heads = 2
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config.num_key_value_heads = 2
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config.num_hidden_layers = 2
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config.kv_lora_rank = 2
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config.q_lora_rank = 2
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config.v_head_dim = 2
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config.qk_nope_head_dim = 2
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config.qk_rope_head_dim = 2
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config.torch_dtype = "bfloat16"
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print(config)
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tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
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tokenizer.save_pretrained(save_path)
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model = AutoModelForCausalLM.from_config(
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config, torch_dtype=torch.bfloat16, attn_implementation="eager", trust_remote_code=True
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)
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model.generation_config = GenerationConfig.from_pretrained(model_id, trust_remote_code=True)
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set_seed(42)
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with torch.no_grad():
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for _, p in sorted(model.named_parameters()):
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torch.nn.init.uniform_(p, -0.1, 0.1)
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model.save_pretrained(save_path)
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# pipe = pipeline("text-generation", model=save_path, device="cuda", trust_remote_code=True)
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# print(pipe("Hello World!"))
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# messages = [
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# {"role": "system", "content": "You are a robot."},
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# {"role": "user", "content": "Hi!"},
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# ]
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# chatbot = pipeline("text-generation", model=save_path, max_length=1000, max_new_tokens=16, trust_remote_code=True)
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# print(chatbot(messages))
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messages = [{"role": "user", "content": "Write a piece of quicksort code in C++"}]
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input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
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outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)
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result = tokenizer.decode(outputs[0][input_tensor.shape[1] :], skip_special_tokens=True)
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print(result)
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```
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config.json
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{
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"_name_or_path": "deepseek-ai/DeepSeek-V2-Chat-0628",
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"architectures": [
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"DeepseekV2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "deepseek-ai/DeepSeek-V2-Chat-0628--configuration_deepseek.DeepseekV2Config",
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"AutoModel": "deepseek-ai/DeepSeek-V2-Chat-0628--modeling_deepseek.DeepseekV2Model",
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"AutoModelForCausalLM": "deepseek-ai/DeepSeek-V2-Chat-0628--modeling_deepseek.DeepseekV2ForCausalLM"
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},
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"aux_loss_alpha": 0.001,
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"bos_token_id": 100000,
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"eos_token_id": 100001,
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"ep_size": 1,
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"first_k_dense_replace": 1,
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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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"kv_lora_rank": 2,
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"max_position_embeddings": 163840,
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"model_type": "deepseek_v2",
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"moe_intermediate_size": 4,
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"moe_layer_freq": 1,
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"n_group": 8,
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"n_routed_experts": 160,
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"n_shared_experts": 2,
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"norm_topk_prob": false,
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"num_attention_heads": 2,
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"num_experts_per_tok": 6,
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"num_hidden_layers": 2,
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"num_key_value_heads": 2,
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"pretraining_tp": 1,
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"q_lora_rank": 2,
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"qk_nope_head_dim": 2,
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"qk_rope_head_dim": 2,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"beta_fast": 32,
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"beta_slow": 1,
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"factor": 40,
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"mscale": 1.0,
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"mscale_all_dim": 1.0,
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"original_max_position_embeddings": 4096,
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"type": "yarn"
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},
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"rope_theta": 10000,
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"routed_scaling_factor": 16.0,
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"scoring_func": "softmax",
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"seq_aux": true,
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"tie_word_embeddings": false,
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"topk_group": 3,
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"topk_method": "group_limited_greedy",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.0.dev0",
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"use_cache": true,
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"v_head_dim": 2,
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"vocab_size": 102400
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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": 100000,
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"do_sample": true,
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"eos_token_id": 100001,
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"temperature": 0.3,
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"top_p": 0.95,
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"transformers_version": "4.43.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b122160ec62929db6035f95cdb01447f94b00c107060732a325b3fcd3635031
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size 3368856
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|end▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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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": "<|end▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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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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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": null,
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"added_tokens_decoder": {
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"100000": {
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"content": "<|begin▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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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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"100001": {
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"content": "<|end▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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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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"100002": {
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"content": "<|fim▁hole|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"100003": {
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"content": "<|fim▁begin|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"100004": {
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"content": "<|fim▁end|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
|
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"special": false
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},
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"100005": {
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"content": "<|completion|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"100006": {
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"content": "<|User|>",
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"lstrip": false,
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"100007": {
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"content": "<|Assistant|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
|
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"special": false
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},
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"100008": {
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"content": "<|EOT|>",
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"lstrip": false,
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"normalized": true,
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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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"100009": {
|
79 |
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"content": "<|tool▁calls▁begin|>",
|
80 |
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"lstrip": false,
|
81 |
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"normalized": true,
|
82 |
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"rstrip": false,
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"single_word": false,
|
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"special": false
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},
|
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"100010": {
|
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"content": "<|tool▁calls▁end|>",
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"lstrip": false,
|
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
|
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"special": false
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},
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"100011": {
|
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"content": "<|tool▁call▁begin|>",
|
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"lstrip": false,
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"100012": {
|
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"content": "<|tool▁call▁end|>",
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"lstrip": false,
|
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"normalized": true,
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"rstrip": false,
|
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"single_word": false,
|
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"special": false
|
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},
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"100013": {
|
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"content": "<|tool▁outputs▁begin|>",
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"lstrip": false,
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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118 |
+
"100014": {
|
119 |
+
"content": "<|tool▁outputs▁end|>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": true,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": false
|
125 |
+
},
|
126 |
+
"100015": {
|
127 |
+
"content": "<|tool▁output▁begin|>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": true,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"100016": {
|
135 |
+
"content": "<|tool▁output▁end|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": true,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"100017": {
|
143 |
+
"content": "<|tool▁sep|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": true,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
}
|
150 |
+
},
|
151 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
152 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ '<|User|>' + message['content'] }}{% elif message['role'] == 'assistant' %}{{ '<|Assistant|>' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|Assistant|>' }}{% endif %}",
|
153 |
+
"clean_up_tokenization_spaces": false,
|
154 |
+
"eos_token": "<|end▁of▁sentence|>",
|
155 |
+
"legacy": true,
|
156 |
+
"model_max_length": 16384,
|
157 |
+
"pad_token": "<|end▁of▁sentence|>",
|
158 |
+
"sp_model_kwargs": {},
|
159 |
+
"tokenizer_class": "LlamaTokenizer",
|
160 |
+
"unk_token": null,
|
161 |
+
"use_default_system_prompt": false
|
162 |
+
}
|