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325
README.md
325
README.md
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---
|
---
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||||||
license: Apache License 2.0
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license: llama3.1
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||||||
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base_model: Crystalcareai/Meta-llama-3.1-8b-instruct
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||||||
#model-type:
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tags:
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||||||
##如 gpt、phi、llama、chatglm、baichuan 等
|
- generated_from_trainer
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||||||
#- gpt
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model-index:
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||||||
|
- name: outputs/out-myalee
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||||||
#domain:
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results: []
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||||||
##如 nlp、cv、audio、multi-modal
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||||||
#- nlp
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||||||
|
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||||||
#language:
|
|
||||||
##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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|
||||||
#- cn
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||||||
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||||||
#metrics:
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|
||||||
##如 CIDEr、Blue、ROUGE 等
|
|
||||||
#- CIDEr
|
|
||||||
|
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||||||
#tags:
|
|
||||||
##各种自定义,包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
|
|
||||||
#- pretrained
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|
||||||
|
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||||||
#tools:
|
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||||||
##如 vllm、fastchat、llamacpp、AdaSeq 等
|
|
||||||
#- vllm
|
|
||||||
---
|
---
|
||||||
### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。
|
|
||||||
#### 您可以通过如下git clone命令,或者ModelScope SDK来下载模型
|
|
||||||
|
|
||||||
SDK下载
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
||||||
```bash
|
should probably proofread and complete it, then remove this comment. -->
|
||||||
#安装ModelScope
|
|
||||||
pip install modelscope
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
|
||||||
```
|
<details><summary>See axolotl config</summary>
|
||||||
```python
|
|
||||||
#SDK模型下载
|
axolotl version: `0.4.1`
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||||||
from modelscope import snapshot_download
|
```yaml
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||||||
model_dir = snapshot_download('arcee-ai/myalee-v3-L31-8B')
|
base_model: Crystalcareai/Meta-llama-3.1-8b-instruct
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||||||
```
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model_type: AutoTokenizer
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||||||
Git下载
|
tokenizer_type: AutoTokenizer
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||||||
```
|
|
||||||
#Git模型下载
|
load_in_8bit: false
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||||||
git clone https://www.modelscope.cn/arcee-ai/myalee-v3-L31-8B.git
|
load_in_4bit: false
|
||||||
|
strict: false
|
||||||
|
|
||||||
|
datasets:
|
||||||
|
- path: /workspace/data/myalee
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||||||
|
type: alpaca
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||||||
|
- path: mlabonne/FineTome-100k
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||||||
|
type: sharegpt
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||||||
|
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||||||
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chat_template: llama3
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||||||
|
dataset_prepared_path: last_run_prepared
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||||||
|
# val_set_size: 0.05
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||||||
|
output_dir: ./outputs/out-myalee
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||||||
|
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||||||
|
sequence_len: 8192
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||||||
|
sample_packing: true
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||||||
|
pad_to_sequence_len: true
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||||||
|
|
||||||
|
wandb_project:
|
||||||
|
wandb_entity:
|
||||||
|
wandb_watch:
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||||||
|
wandb_name:
|
||||||
|
wandb_log_model:
|
||||||
|
|
||||||
|
unfrozen_parameters:
|
||||||
|
- ^lm_head.weight$
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||||||
|
- ^model.embed_tokens.weight$
|
||||||
|
# input_layernorm layers
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||||||
|
- model.layers.0.input_layernorm
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||||||
|
- model.layers.1.input_layernorm
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||||||
|
- model.layers.2.input_layernorm
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||||||
|
- model.layers.3.input_layernorm
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||||||
|
- model.layers.4.input_layernorm
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||||||
|
- model.layers.5.input_layernorm
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||||||
|
- model.layers.6.input_layernorm
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||||||
|
- model.layers.7.input_layernorm
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||||||
|
- model.layers.8.input_layernorm
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|
- model.layers.9.input_layernorm
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|
- model.layers.10.input_layernorm
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||||||
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- model.layers.11.input_layernorm
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||||||
|
- model.layers.12.input_layernorm
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||||||
|
- model.layers.13.input_layernorm
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|
- model.layers.14.input_layernorm
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||||||
|
- model.layers.15.input_layernorm
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||||||
|
# lm_head layers
|
||||||
|
# mlp.down_proj layers
|
||||||
|
- model.layers.1.mlp.down_proj
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||||||
|
- model.layers.0.mlp.down_proj
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||||||
|
- model.layers.30.mlp.down_proj
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|
- model.layers.2.mlp.down_proj
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- model.layers.21.mlp.down_proj
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- model.layers.22.mlp.down_proj
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- model.layers.29.mlp.down_proj
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- model.layers.5.mlp.down_proj
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- model.layers.4.mlp.down_proj
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- model.layers.20.mlp.down_proj
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- model.layers.23.mlp.down_proj
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- model.layers.19.mlp.down_proj
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|
- model.layers.3.mlp.down_proj
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- model.layers.17.mlp.down_proj
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- model.layers.6.mlp.down_proj
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- model.layers.31.mlp.down_proj
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||||||
|
# mlp.gate_proj layers
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||||||
|
- model.layers.1.mlp.gate_proj
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|
- model.layers.2.mlp.gate_proj
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|
- model.layers.3.mlp.gate_proj
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- model.layers.4.mlp.gate_proj
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- model.layers.0.mlp.gate_proj
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- model.layers.25.mlp.gate_proj
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- model.layers.26.mlp.gate_proj
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- model.layers.5.mlp.gate_proj
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- model.layers.24.mlp.gate_proj
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- model.layers.28.mlp.gate_proj
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- model.layers.23.mlp.gate_proj
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- model.layers.27.mlp.gate_proj
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- model.layers.21.mlp.gate_proj
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- model.layers.22.mlp.gate_proj
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- model.layers.29.mlp.gate_proj
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|
- model.layers.20.mlp.gate_proj
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||||||
|
# mlp.up_proj layers
|
||||||
|
- model.layers.4.mlp.up_proj
|
||||||
|
- model.layers.3.mlp.up_proj
|
||||||
|
- model.layers.0.mlp.up_proj
|
||||||
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- model.layers.5.mlp.up_proj
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||||||
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- model.layers.7.mlp.up_proj
|
||||||
|
- model.layers.6.mlp.up_proj
|
||||||
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- model.layers.2.mlp.up_proj
|
||||||
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- model.layers.1.mlp.up_proj
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||||||
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- model.layers.8.mlp.up_proj
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||||||
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- model.layers.12.mlp.up_proj
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||||||
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- model.layers.14.mlp.up_proj
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||||||
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- model.layers.9.mlp.up_proj
|
||||||
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- model.layers.15.mlp.up_proj
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||||||
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- model.layers.17.mlp.up_proj
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||||||
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- model.layers.13.mlp.up_proj
|
||||||
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- model.layers.19.mlp.up_proj
|
||||||
|
# model.embed_tokens layers
|
||||||
|
# model.norm layers
|
||||||
|
# post_attention_layernorm layers
|
||||||
|
- model.layers.0.post_attention_layernorm
|
||||||
|
- model.layers.1.post_attention_layernorm
|
||||||
|
- model.layers.2.post_attention_layernorm
|
||||||
|
- model.layers.3.post_attention_layernorm
|
||||||
|
- model.layers.4.post_attention_layernorm
|
||||||
|
- model.layers.5.post_attention_layernorm
|
||||||
|
- model.layers.6.post_attention_layernorm
|
||||||
|
- model.layers.7.post_attention_layernorm
|
||||||
|
- model.layers.8.post_attention_layernorm
|
||||||
|
- model.layers.9.post_attention_layernorm
|
||||||
|
- model.layers.10.post_attention_layernorm
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||||||
|
- model.layers.11.post_attention_layernorm
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||||||
|
- model.layers.12.post_attention_layernorm
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||||||
|
- model.layers.13.post_attention_layernorm
|
||||||
|
- model.layers.14.post_attention_layernorm
|
||||||
|
- model.layers.15.post_attention_layernorm
|
||||||
|
# self_attn.k_proj layers
|
||||||
|
- model.layers.29.self_attn.k_proj
|
||||||
|
- model.layers.25.self_attn.k_proj
|
||||||
|
- model.layers.23.self_attn.k_proj
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- model.layers.28.self_attn.k_proj
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- model.layers.21.self_attn.k_proj
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||||||
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- model.layers.19.self_attn.k_proj
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||||||
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- model.layers.22.self_attn.k_proj
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||||||
|
- model.layers.20.self_attn.k_proj
|
||||||
|
- model.layers.24.self_attn.k_proj
|
||||||
|
- model.layers.31.self_attn.k_proj
|
||||||
|
- model.layers.27.self_attn.k_proj
|
||||||
|
- model.layers.26.self_attn.k_proj
|
||||||
|
- model.layers.17.self_attn.k_proj
|
||||||
|
- model.layers.11.self_attn.k_proj
|
||||||
|
- model.layers.18.self_attn.k_proj
|
||||||
|
- model.layers.14.self_attn.k_proj
|
||||||
|
# self_attn.o_proj layers
|
||||||
|
- model.layers.14.self_attn.o_proj
|
||||||
|
- model.layers.7.self_attn.o_proj
|
||||||
|
- model.layers.5.self_attn.o_proj
|
||||||
|
- model.layers.11.self_attn.o_proj
|
||||||
|
- model.layers.6.self_attn.o_proj
|
||||||
|
- model.layers.24.self_attn.o_proj
|
||||||
|
- model.layers.9.self_attn.o_proj
|
||||||
|
- model.layers.13.self_attn.o_proj
|
||||||
|
- model.layers.10.self_attn.o_proj
|
||||||
|
- model.layers.12.self_attn.o_proj
|
||||||
|
- model.layers.8.self_attn.o_proj
|
||||||
|
- model.layers.25.self_attn.o_proj
|
||||||
|
- model.layers.21.self_attn.o_proj
|
||||||
|
- model.layers.23.self_attn.o_proj
|
||||||
|
- model.layers.15.self_attn.o_proj
|
||||||
|
- model.layers.16.self_attn.o_proj
|
||||||
|
# self_attn.q_proj layers
|
||||||
|
- model.layers.8.self_attn.q_proj
|
||||||
|
- model.layers.13.self_attn.q_proj
|
||||||
|
- model.layers.9.self_attn.q_proj
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||||||
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- model.layers.14.self_attn.q_proj
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||||||
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- model.layers.10.self_attn.q_proj
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||||||
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- model.layers.11.self_attn.q_proj
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||||||
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- model.layers.0.self_attn.q_proj
|
||||||
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- model.layers.15.self_attn.q_proj
|
||||||
|
- model.layers.1.self_attn.q_proj
|
||||||
|
- model.layers.6.self_attn.q_proj
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||||||
|
- model.layers.5.self_attn.q_proj
|
||||||
|
- model.layers.7.self_attn.q_proj
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||||||
|
- model.layers.12.self_attn.q_proj
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||||||
|
- model.layers.16.self_attn.q_proj
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||||||
|
- model.layers.17.self_attn.q_proj
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||||||
|
- model.layers.26.self_attn.q_proj
|
||||||
|
# self_attn.v_proj layers
|
||||||
|
- model.layers.26.self_attn.v_proj
|
||||||
|
- model.layers.17.self_attn.v_proj
|
||||||
|
- model.layers.3.self_attn.v_proj
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||||||
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- model.layers.28.self_attn.v_proj
|
||||||
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- model.layers.29.self_attn.v_proj
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- model.layers.21.self_attn.v_proj
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- model.layers.15.self_attn.v_proj
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|
- model.layers.16.self_attn.v_proj
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||||||
|
- model.layers.20.self_attn.v_proj
|
||||||
|
- model.layers.25.self_attn.v_proj
|
||||||
|
- model.layers.6.self_attn.v_proj
|
||||||
|
- model.layers.23.self_attn.v_proj
|
||||||
|
- model.layers.4.self_attn.v_proj
|
||||||
|
- model.layers.1.self_attn.v_proj
|
||||||
|
- model.layers.22.self_attn.v_proj
|
||||||
|
- model.layers.14.self_attn.v_proj
|
||||||
|
|
||||||
|
|
||||||
|
gradient_accumulation_steps: 8
|
||||||
|
micro_batch_size: 1
|
||||||
|
num_epochs: 4
|
||||||
|
optimizer: adamw_torch_fused
|
||||||
|
lr_scheduler: cosine
|
||||||
|
learning_rate: 2e-5
|
||||||
|
|
||||||
|
train_on_inputs: false
|
||||||
|
group_by_length: false
|
||||||
|
bf16: auto
|
||||||
|
fp16:
|
||||||
|
tf32: false
|
||||||
|
|
||||||
|
gradient_checkpointing: true
|
||||||
|
gradient_checkpointing_kwargs:
|
||||||
|
use_reentrant: false
|
||||||
|
early_stopping_patience:
|
||||||
|
resume_from_checkpoint:
|
||||||
|
logging_steps: 1
|
||||||
|
xformers_attention:
|
||||||
|
flash_attention: true
|
||||||
|
|
||||||
|
warmup_steps: 25
|
||||||
|
# evals_per_epoch: 2
|
||||||
|
eval_table_size:
|
||||||
|
saves_per_epoch: 1
|
||||||
|
debug:
|
||||||
|
deepspeed:
|
||||||
|
weight_decay: 0.0
|
||||||
|
fsdp:
|
||||||
|
fsdp_config:
|
||||||
|
special_tokens:
|
||||||
|
pad_token: <|end_of_text|>
|
||||||
|
|
||||||
```
|
```
|
||||||
|
|
||||||
<p style="color: lightgrey;">如果您是本模型的贡献者,我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>,及时完善模型卡片内容。</p>
|
</details><br>
|
||||||
|
|
||||||
|
# outputs/out-myalee
|
||||||
|
|
||||||
|
This model is a fine-tuned version of [Crystalcareai/Meta-llama-3.1-8b-instruct](https://huggingface.co/Crystalcareai/Meta-llama-3.1-8b-instruct) on the None dataset.
|
||||||
|
|
||||||
|
## Model description
|
||||||
|
|
||||||
|
More information needed
|
||||||
|
|
||||||
|
## Intended uses & limitations
|
||||||
|
|
||||||
|
More information needed
|
||||||
|
|
||||||
|
## Training and evaluation data
|
||||||
|
|
||||||
|
More information needed
|
||||||
|
|
||||||
|
## Training procedure
|
||||||
|
|
||||||
|
### Training hyperparameters
|
||||||
|
|
||||||
|
The following hyperparameters were used during training:
|
||||||
|
- learning_rate: 2e-05
|
||||||
|
- train_batch_size: 1
|
||||||
|
- eval_batch_size: 1
|
||||||
|
- seed: 42
|
||||||
|
- gradient_accumulation_steps: 8
|
||||||
|
- total_train_batch_size: 8
|
||||||
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
||||||
|
- lr_scheduler_type: cosine
|
||||||
|
- lr_scheduler_warmup_steps: 25
|
||||||
|
- num_epochs: 4
|
||||||
|
|
||||||
|
### Training results
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
### Framework versions
|
||||||
|
|
||||||
|
- Transformers 4.43.1
|
||||||
|
- Pytorch 2.3.1+cu121
|
||||||
|
- Datasets 2.19.1
|
||||||
|
- Tokenizers 0.19.1
|
||||||
|
|||||||
35
config.json
Normal file
35
config.json
Normal file
@@ -0,0 +1,35 @@
|
|||||||
|
{
|
||||||
|
"_name_or_path": "Crystalcareai/Meta-llama-3.1-8b-instruct",
|
||||||
|
"architectures": [
|
||||||
|
"LlamaForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 128000,
|
||||||
|
"eos_token_id": 128009,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 4096,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 14336,
|
||||||
|
"max_position_embeddings": 131072,
|
||||||
|
"mlp_bias": false,
|
||||||
|
"model_type": "llama",
|
||||||
|
"num_attention_heads": 32,
|
||||||
|
"num_hidden_layers": 32,
|
||||||
|
"num_key_value_heads": 8,
|
||||||
|
"pretraining_tp": 1,
|
||||||
|
"rms_norm_eps": 1e-05,
|
||||||
|
"rope_scaling": {
|
||||||
|
"factor": 8.0,
|
||||||
|
"high_freq_factor": 4.0,
|
||||||
|
"low_freq_factor": 1.0,
|
||||||
|
"original_max_position_embeddings": 8192,
|
||||||
|
"rope_type": "llama3"
|
||||||
|
},
|
||||||
|
"rope_theta": 500000.0,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"transformers_version": "4.43.1",
|
||||||
|
"use_cache": false,
|
||||||
|
"vocab_size": 128256
|
||||||
|
}
|
||||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||||
12
generation_config.json
Normal file
12
generation_config.json
Normal file
@@ -0,0 +1,12 @@
|
|||||||
|
{
|
||||||
|
"bos_token_id": 128000,
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": [
|
||||||
|
128001,
|
||||||
|
128008,
|
||||||
|
128009
|
||||||
|
],
|
||||||
|
"temperature": 0.6,
|
||||||
|
"top_p": 0.9,
|
||||||
|
"transformers_version": "4.43.1"
|
||||||
|
}
|
||||||
3
pytorch_model-00001-of-00004.bin
Normal file
3
pytorch_model-00001-of-00004.bin
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:578c324a15dc3386f72b7dd73646d77f3a7bd626dab9c486e7fbcc255e921217
|
||||||
|
size 4976718466
|
||||||
3
pytorch_model-00002-of-00004.bin
Normal file
3
pytorch_model-00002-of-00004.bin
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:daf4f3cb9d32cf6a4a10f168bcc558e670cb661bfe91be2f261d29aede9e4613
|
||||||
|
size 4999827718
|
||||||
3
pytorch_model-00003-of-00004.bin
Normal file
3
pytorch_model-00003-of-00004.bin
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:09809fff92a58085140bac0cbe0f06d253bfb0805548036b699ee363d990b38e
|
||||||
|
size 4915940170
|
||||||
3
pytorch_model-00004-of-00004.bin
Normal file
3
pytorch_model-00004-of-00004.bin
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:f2e26eb1f47ac77202a416652ef129e3615ab4f0a7177b1775250aae4cb5caa5
|
||||||
|
size 1168140873
|
||||||
298
pytorch_model.bin.index.json
Normal file
298
pytorch_model.bin.index.json
Normal file
@@ -0,0 +1,298 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"total_size": 16060522496
|
||||||
|
},
|
||||||
|
"weight_map": {
|
||||||
|
"lm_head.weight": "pytorch_model-00004-of-00004.bin",
|
||||||
|
"model.embed_tokens.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
||||||
|
"model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.norm.weight": "pytorch_model-00004-of-00004.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|eot_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|end_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
410504
tokenizer.json
Normal file
410504
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user