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- .ipynb_checkpoints/README-checkpoint.md +152 -0
- .ipynb_checkpoints/config-checkpoint.json +32 -0
- .ipynb_checkpoints/generation_config-checkpoint.json +7 -0
- .ipynb_checkpoints/tokenizer_config-checkpoint.json +44 -0
- README.md +155 -0
- added_tokens.json +5 -0
- config.json +32 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- pytorch_model-00001-of-00016.bin +3 -0
- pytorch_model-00002-of-00016.bin +3 -0
- pytorch_model-00003-of-00016.bin +3 -0
- pytorch_model-00004-of-00016.bin +3 -0
- pytorch_model-00005-of-00016.bin +3 -0
- pytorch_model-00006-of-00016.bin +3 -0
- pytorch_model-00007-of-00016.bin +3 -0
- pytorch_model-00008-of-00016.bin +3 -0
- pytorch_model-00009-of-00016.bin +3 -0
- pytorch_model-00010-of-00016.bin +3 -0
- pytorch_model-00011-of-00016.bin +3 -0
- pytorch_model-00012-of-00016.bin +3 -0
- pytorch_model-00013-of-00016.bin +3 -0
- pytorch_model-00014-of-00016.bin +3 -0
- pytorch_model-00015-of-00016.bin +3 -0
- pytorch_model-00016-of-00016.bin +3 -0
- pytorch_model.bin.index.json +1002 -0
- special_tokens_map.json +20 -0
- tokenizer_config.json +44 -0
- vocab.json +0 -0
.ipynb_checkpoints/README-checkpoint.md
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| 1 |
+
---
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+
library_name: peft
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+
tags:
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- axolotl
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- generated_from_trainer
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+
base_model: MaziyarPanahi/Qwen1.5-8x7b
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+
model-index:
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| 8 |
+
- name: Qwen1.5-8x7b-v0.1
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+
results: []
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| 10 |
+
---
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| 11 |
+
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+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+
should probably proofread and complete it, then remove this comment. -->
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+
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+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+
<details><summary>See axolotl config</summary>
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axolotl version: `0.4.0`
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+
```yaml
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base_model: MaziyarPanahi/Qwen1.5-8x7b
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model_type: Qwen2ForCausalLM
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tokenizer_type: Qwen2Tokenizer
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trust_remote_code: true
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+
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hub_model_id: MaziyarPanahi/Qwen1.5-8x7b-v0.1
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+
hf_use_auth_token: true
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+
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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+
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+
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datasets:
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+
- path: Crystalcareai/MoD-150k
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type: sharegpt
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| 37 |
+
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| 38 |
+
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+
dataset_prepared_path:
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val_set_size: 0.05
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output_dir: ./Qwen1.5-8x7b-v0.1-lora-out
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+
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model_config:
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+
output_router_logits: true
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+
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adapter: qlora
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+
lora_model_dir:
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| 48 |
+
sequence_len: 2048
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+
sample_packing: true
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pad_to_sequence_len: true
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+
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+
lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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| 56 |
+
lora_target_linear: true
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| 57 |
+
lora_fan_in_fan_out:
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+
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+
gradient_accumulation_steps: 2
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| 61 |
+
micro_batch_size: 2
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| 62 |
+
num_epochs: 1
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| 63 |
+
optimizer: adamw_bnb_8bit
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| 64 |
+
lr_scheduler: cosine
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| 65 |
+
learning_rate: 0.0002
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| 66 |
+
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| 67 |
+
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| 68 |
+
train_on_inputs: false
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| 69 |
+
group_by_length: false
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| 70 |
+
bf16: auto
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| 71 |
+
fp16:
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| 72 |
+
tf32: false
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| 73 |
+
|
| 74 |
+
|
| 75 |
+
gradient_checkpointing: true
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| 76 |
+
early_stopping_patience:
|
| 77 |
+
resume_from_checkpoint:
|
| 78 |
+
local_rank:
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| 79 |
+
logging_steps: 1
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| 80 |
+
xformers_attention:
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| 81 |
+
flash_attention: true
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| 82 |
+
|
| 83 |
+
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| 84 |
+
warmup_steps: 10
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| 85 |
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evals_per_epoch: 4
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| 86 |
+
eval_table_size:
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| 87 |
+
eval_max_new_tokens: 128
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| 88 |
+
saves_per_epoch: 1
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| 89 |
+
debug:
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| 90 |
+
deepspeed:
|
| 91 |
+
weight_decay: 0.0
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| 92 |
+
fsdp:
|
| 93 |
+
fsdp_config:
|
| 94 |
+
special_tokens:
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| 95 |
+
```
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| 96 |
+
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| 97 |
+
</details><br>
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| 98 |
+
|
| 99 |
+
# Qwen1.5-8x7b-v0.1
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| 100 |
+
|
| 101 |
+
This model is a fine-tuned version of [MaziyarPanahi/Qwen1.5-8x7b](https://huggingface.co/MaziyarPanahi/Qwen1.5-8x7b) on the None dataset.
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| 102 |
+
It achieves the following results on the evaluation set:
|
| 103 |
+
- Loss: 0.7945
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| 104 |
+
|
| 105 |
+
## Model description
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| 106 |
+
|
| 107 |
+
More information needed
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| 108 |
+
|
| 109 |
+
## Intended uses & limitations
|
| 110 |
+
|
| 111 |
+
More information needed
|
| 112 |
+
|
| 113 |
+
## Training and evaluation data
|
| 114 |
+
|
| 115 |
+
More information needed
|
| 116 |
+
|
| 117 |
+
## Training procedure
|
| 118 |
+
|
| 119 |
+
### Training hyperparameters
|
| 120 |
+
|
| 121 |
+
The following hyperparameters were used during training:
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| 122 |
+
- learning_rate: 0.0002
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| 123 |
+
- train_batch_size: 2
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| 124 |
+
- eval_batch_size: 2
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| 125 |
+
- seed: 42
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| 126 |
+
- distributed_type: multi-GPU
|
| 127 |
+
- num_devices: 4
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| 128 |
+
- gradient_accumulation_steps: 2
|
| 129 |
+
- total_train_batch_size: 16
|
| 130 |
+
- total_eval_batch_size: 8
|
| 131 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 132 |
+
- lr_scheduler_type: cosine
|
| 133 |
+
- lr_scheduler_warmup_steps: 10
|
| 134 |
+
- num_epochs: 1
|
| 135 |
+
|
| 136 |
+
### Training results
|
| 137 |
+
|
| 138 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 139 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 140 |
+
| 6.2196 | 0.0 | 1 | 6.1942 |
|
| 141 |
+
| 0.7772 | 0.25 | 513 | 0.8037 |
|
| 142 |
+
| 0.656 | 0.5 | 1026 | 0.7977 |
|
| 143 |
+
| 0.6967 | 0.75 | 1539 | 0.7945 |
|
| 144 |
+
|
| 145 |
+
|
| 146 |
+
### Framework versions
|
| 147 |
+
|
| 148 |
+
- PEFT 0.8.2
|
| 149 |
+
- Transformers 4.39.0.dev0
|
| 150 |
+
- Pytorch 2.2.0+cu121
|
| 151 |
+
- Datasets 2.17.0
|
| 152 |
+
- Tokenizers 0.15.0
|
.ipynb_checkpoints/config-checkpoint.json
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| 1 |
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{
|
| 2 |
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"_name_or_path": "MaziyarPanahi/Qwen1.5-8x7b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"MixtralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": null,
|
| 8 |
+
"eos_token_id": 151643,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 4096,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "mixtral",
|
| 16 |
+
"num_attention_heads": 32,
|
| 17 |
+
"num_experts_per_tok": 2,
|
| 18 |
+
"num_hidden_layers": 32,
|
| 19 |
+
"num_key_value_heads": 32,
|
| 20 |
+
"num_local_experts": 8,
|
| 21 |
+
"output_router_logits": true,
|
| 22 |
+
"rms_norm_eps": 1e-06,
|
| 23 |
+
"rope_theta": 1000000.0,
|
| 24 |
+
"router_aux_loss_coef": 0.001,
|
| 25 |
+
"sliding_window": null,
|
| 26 |
+
"tie_word_embeddings": false,
|
| 27 |
+
"torch_dtype": "bfloat16",
|
| 28 |
+
"transformers_version": "4.39.0.dev0",
|
| 29 |
+
"use_cache": false,
|
| 30 |
+
"use_sliding_window": false,
|
| 31 |
+
"vocab_size": 151936
|
| 32 |
+
}
|
.ipynb_checkpoints/generation_config-checkpoint.json
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{
|
| 2 |
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"_from_model_config": true,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 151643,
|
| 5 |
+
"transformers_version": "4.39.0.dev0",
|
| 6 |
+
"use_cache": false
|
| 7 |
+
}
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.ipynb_checkpoints/tokenizer_config-checkpoint.json
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@@ -0,0 +1,44 @@
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{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
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"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
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"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
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"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [
|
| 30 |
+
"<|im_start|>",
|
| 31 |
+
"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
+
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|endoftext|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 32768,
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"split_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 42 |
+
"unk_token": null,
|
| 43 |
+
"use_fast": true
|
| 44 |
+
}
|
README.md
ADDED
|
@@ -0,0 +1,155 @@
|
|
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
tags:
|
| 4 |
+
- axolotl
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
- moe
|
| 7 |
+
- qwen
|
| 8 |
+
- text-generation-inference
|
| 9 |
+
base_model: MaziyarPanahi/Qwen1.5-8x7b
|
| 10 |
+
model-index:
|
| 11 |
+
- name: Qwen1.5-8x7b-v0.1
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
| 19 |
+
<details><summary>See axolotl config</summary>
|
| 20 |
+
|
| 21 |
+
axolotl version: `0.4.0`
|
| 22 |
+
```yaml
|
| 23 |
+
base_model: MaziyarPanahi/Qwen1.5-8x7b
|
| 24 |
+
model_type: Qwen2ForCausalLM
|
| 25 |
+
tokenizer_type: Qwen2Tokenizer
|
| 26 |
+
|
| 27 |
+
trust_remote_code: true
|
| 28 |
+
|
| 29 |
+
hub_model_id: MaziyarPanahi/Qwen1.5-8x7b-v0.1
|
| 30 |
+
hf_use_auth_token: true
|
| 31 |
+
|
| 32 |
+
load_in_8bit: false
|
| 33 |
+
load_in_4bit: true
|
| 34 |
+
strict: false
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
datasets:
|
| 38 |
+
- path: Crystalcareai/MoD-150k
|
| 39 |
+
type: sharegpt
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
dataset_prepared_path:
|
| 43 |
+
val_set_size: 0.05
|
| 44 |
+
output_dir: ./Qwen1.5-8x7b-v0.1-lora-out
|
| 45 |
+
|
| 46 |
+
model_config:
|
| 47 |
+
output_router_logits: true
|
| 48 |
+
|
| 49 |
+
adapter: qlora
|
| 50 |
+
lora_model_dir:
|
| 51 |
+
sequence_len: 2048
|
| 52 |
+
sample_packing: true
|
| 53 |
+
pad_to_sequence_len: true
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
lora_r: 32
|
| 57 |
+
lora_alpha: 16
|
| 58 |
+
lora_dropout: 0.05
|
| 59 |
+
lora_target_linear: true
|
| 60 |
+
lora_fan_in_fan_out:
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
gradient_accumulation_steps: 2
|
| 64 |
+
micro_batch_size: 2
|
| 65 |
+
num_epochs: 1
|
| 66 |
+
optimizer: adamw_bnb_8bit
|
| 67 |
+
lr_scheduler: cosine
|
| 68 |
+
learning_rate: 0.0002
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
train_on_inputs: false
|
| 72 |
+
group_by_length: false
|
| 73 |
+
bf16: auto
|
| 74 |
+
fp16:
|
| 75 |
+
tf32: false
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
gradient_checkpointing: true
|
| 79 |
+
early_stopping_patience:
|
| 80 |
+
resume_from_checkpoint:
|
| 81 |
+
local_rank:
|
| 82 |
+
logging_steps: 1
|
| 83 |
+
xformers_attention:
|
| 84 |
+
flash_attention: true
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
warmup_steps: 10
|
| 88 |
+
evals_per_epoch: 4
|
| 89 |
+
eval_table_size:
|
| 90 |
+
eval_max_new_tokens: 128
|
| 91 |
+
saves_per_epoch: 1
|
| 92 |
+
debug:
|
| 93 |
+
deepspeed:
|
| 94 |
+
weight_decay: 0.0
|
| 95 |
+
fsdp:
|
| 96 |
+
fsdp_config:
|
| 97 |
+
special_tokens:
|
| 98 |
+
```
|
| 99 |
+
|
| 100 |
+
</details><br>
|
| 101 |
+
|
| 102 |
+
# Qwen1.5-8x7b-v0.1
|
| 103 |
+
|
| 104 |
+
This model is a fine-tuned version of [MaziyarPanahi/Qwen1.5-8x7b](https://huggingface.co/MaziyarPanahi/Qwen1.5-8x7b) on the [Crystalcareai/MoD-150k](https://huggingface.co/datasets/Crystalcareai/MoD-150k) dataset.
|
| 105 |
+
It achieves the following results on the evaluation set:
|
| 106 |
+
- Loss: 0.7945
|
| 107 |
+
|
| 108 |
+
## Model description
|
| 109 |
+
|
| 110 |
+
More information needed
|
| 111 |
+
|
| 112 |
+
## Intended uses & limitations
|
| 113 |
+
|
| 114 |
+
More information needed
|
| 115 |
+
|
| 116 |
+
## Training and evaluation data
|
| 117 |
+
|
| 118 |
+
More information needed
|
| 119 |
+
|
| 120 |
+
## Training procedure
|
| 121 |
+
|
| 122 |
+
### Training hyperparameters
|
| 123 |
+
|
| 124 |
+
The following hyperparameters were used during training:
|
| 125 |
+
- learning_rate: 0.0002
|
| 126 |
+
- train_batch_size: 2
|
| 127 |
+
- eval_batch_size: 2
|
| 128 |
+
- seed: 42
|
| 129 |
+
- distributed_type: multi-GPU
|
| 130 |
+
- num_devices: 4
|
| 131 |
+
- gradient_accumulation_steps: 2
|
| 132 |
+
- total_train_batch_size: 16
|
| 133 |
+
- total_eval_batch_size: 8
|
| 134 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 135 |
+
- lr_scheduler_type: cosine
|
| 136 |
+
- lr_scheduler_warmup_steps: 10
|
| 137 |
+
- num_epochs: 1
|
| 138 |
+
|
| 139 |
+
### Training results
|
| 140 |
+
|
| 141 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 142 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 143 |
+
| 6.2196 | 0.0 | 1 | 6.1942 |
|
| 144 |
+
| 0.7772 | 0.25 | 513 | 0.8037 |
|
| 145 |
+
| 0.656 | 0.5 | 1026 | 0.7977 |
|
| 146 |
+
| 0.6967 | 0.75 | 1539 | 0.7945 |
|
| 147 |
+
|
| 148 |
+
|
| 149 |
+
### Framework versions
|
| 150 |
+
|
| 151 |
+
- PEFT 0.8.2
|
| 152 |
+
- Transformers 4.39.0.dev0
|
| 153 |
+
- Pytorch 2.2.0+cu121
|
| 154 |
+
- Datasets 2.17.0
|
| 155 |
+
- Tokenizers 0.15.0
|
added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "MaziyarPanahi/Qwen1.5-8x7b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"MixtralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": null,
|
| 8 |
+
"eos_token_id": 151643,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 4096,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "mixtral",
|
| 16 |
+
"num_attention_heads": 32,
|
| 17 |
+
"num_experts_per_tok": 2,
|
| 18 |
+
"num_hidden_layers": 32,
|
| 19 |
+
"num_key_value_heads": 32,
|
| 20 |
+
"num_local_experts": 8,
|
| 21 |
+
"output_router_logits": true,
|
| 22 |
+
"rms_norm_eps": 1e-06,
|
| 23 |
+
"rope_theta": 1000000.0,
|
| 24 |
+
"router_aux_loss_coef": 0.001,
|
| 25 |
+
"sliding_window": null,
|
| 26 |
+
"tie_word_embeddings": false,
|
| 27 |
+
"torch_dtype": "bfloat16",
|
| 28 |
+
"transformers_version": "4.39.0.dev0",
|
| 29 |
+
"use_cache": false,
|
| 30 |
+
"use_sliding_window": false,
|
| 31 |
+
"vocab_size": 151936
|
| 32 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 151643,
|
| 5 |
+
"transformers_version": "4.39.0.dev0",
|
| 6 |
+
"use_cache": false
|
| 7 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
pytorch_model-00001-of-00016.bin
ADDED
|
@@ -0,0 +1,3 @@
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ADDED
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pytorch_model-00007-of-00016.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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pytorch_model-00008-of-00016.bin
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| 1 |
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version https://git-lfs.github.com/spec/v1
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pytorch_model-00009-of-00016.bin
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
pytorch_model-00010-of-00016.bin
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pytorch_model-00011-of-00016.bin
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pytorch_model-00013-of-00016.bin
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pytorch_model-00014-of-00016.bin
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pytorch_model-00015-of-00016.bin
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pytorch_model-00016-of-00016.bin
ADDED
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pytorch_model.bin.index.json
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@@ -0,0 +1,1002 @@
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|
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|
| 1002 |
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special_tokens_map.json
ADDED
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{
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| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
}
|
| 20 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [
|
| 30 |
+
"<|im_start|>",
|
| 31 |
+
"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
+
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|endoftext|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 32768,
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"split_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 42 |
+
"unk_token": null,
|
| 43 |
+
"use_fast": true
|
| 44 |
+
}
|
vocab.json
ADDED
|
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|
|
|