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# issue 38 update transformers class name:LlamaTokenizer,LlamaForCaus… #39

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# issue 38 update transformers class name:LlamaTokenizer,LlamaForCaus… #39

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# issue 38 update transformers class name:LlamaTokenizer,LlamaForCaus…
sunyoubo Apr 24, 2023
add764b
# update README.md How to fine-tuning LlamaDecoderLayer
sunyoubo Apr 25, 2023
4d247fd
# update requirements.txt
sunyoubo Apr 25, 2023
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -84,7 +84,7 @@ torchrun --nproc_per_node=4 --master_port=<your_random_port> train.py \
--lr_scheduler_type "cosine" \
--logging_steps 1 \
--fsdp "full_shard auto_wrap" \
--fsdp_transformer_layer_cls_to_wrap 'LLaMADecoderLayer' \
--fsdp_transformer_layer_cls_to_wrap 'LlamaDecoderLayer' \
--tf32 True
```

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4 changes: 2 additions & 2 deletions chat.py
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Expand Up @@ -24,8 +24,8 @@ def load_model(model_name, eight_bit=0, device_map="auto"):
gpu_count = torch.cuda.device_count()
print('gpu_count', gpu_count)

tokenizer = transformers.LLaMATokenizer.from_pretrained(model_name)
model = transformers.LLaMAForCausalLM.from_pretrained(
tokenizer = transformers.LlamaTokenizer.from_pretrained(model_name)
model = transformers.LlamaTokenizer.from_pretrained(
model_name,
#device_map=device_map,
#device_map="auto",
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2 changes: 1 addition & 1 deletion requirements.txt
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Expand Up @@ -2,7 +2,7 @@ numpy
rouge_score
fire
openai
git+https://github.com/zphang/transformers.git@68d640f7c368bcaaaecfc678f11908ebbd3d6176
transformers==4.28.1
torch
sentencepiece
tokenizers==0.12.1
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