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tidy
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@@ -51,7 +51,7 @@ python scripts/download-model.py tloen/alpaca-lora-7b
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python scripts/download-model.py tloen/alpaca-lora-7b
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python scripts/download-model.py decapoda-research/llama-7b-hf
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# convert
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python scripts/export_hf_checkpoint.py ./models/llama-7b-hf -l loras/tloen_alpaca-lora-7b
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python scripts/export_hf_checkpoint.py ./data/models/llama-7b-hf -l ./data/loras/tloen_alpaca-lora-7b
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# test
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python scripts/test_01_delora.py models/tloen_alpaca-lora-7b-delorified
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```
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+5
-5
@@ -55,10 +55,10 @@ python scripts/download-model.py tloen/alpaca-lora-7b
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python scripts/download-model.py decapoda-research/llama-7b-hf
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# convert
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python scripts/01_export_hf_checkpoint.py ./models/decapoda-research_llama-7b-hf -l loras/tloen_alpaca-lora-7b
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python scripts/01_export_hf_checkpoint.py ./models/decapoda-research_llama-13b-hf -l loras/chansung_alpaca-lora-13b # crash! 50GB+ needed
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python scripts/01_export_hf_checkpoint.py ./models/decapoda-research_llama-30b-hf -l loras/chansung_alpaca-lora-30b
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python scripts/01_export_hf_checkpoint.py ./models/decapoda-research_llama-60b-hf -l loras/chansung_alpaca-lora-60b
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python scripts/01_export_hf_checkpoint.py ./data/models/decapoda-research_llama-7b-hf -l ./data/loras/tloen_alpaca-lora-7b
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python scripts/01_export_hf_checkpoint.py ./data/models/decapoda-research_llama-13b-hf -l ./data/loras/chansung_alpaca-lora-13b # crash! 50GB+ needed
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python scripts/01_export_hf_checkpoint.py ./data/models/decapoda-research_llama-30b-hf -l ./data/loras/chansung_alpaca-lora-30b
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python scripts/01_export_hf_checkpoint.py ./data/models/decapoda-research_llama-60b-hf -l ./data/loras/chansung_alpaca-lora-60b
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# test
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python scripts/test_01_delora.py models/tloen_alpaca-lora-7b-delorified
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@@ -66,7 +66,7 @@ python scripts/test_01_delora.py models/chansung_alpaca-lora-13b-delorified
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# now compare what was generated during conversion `test_prompts.txt`, to the loaded version
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# 4bit...
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CUDA_VISIBLE_DEVICES=0 python llama.py ./models/tloen_alpaca-lora-7b-delorified c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors ./models/tloen_alpaca-lora-7b-delorified/llama7b-4bit-128g.safetensors
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CUDA_VISIBLE_DEVICES=0 python llama.py ./data/models/tloen_alpaca-lora-7b-delorified c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors ./data/models/tloen_alpaca-lora-7b-delorified/llama7b-4bit-128g.safetensors
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# ggml conversion...
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```
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@@ -1,4 +1,4 @@
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# torch
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# torch, I prefer to install from conda
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accelerate
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bitsandbytes
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datasets
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@@ -6,6 +6,7 @@ sentencepiece
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safetensors
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triton
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colorama
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# to get 4bit working you need some specific versions, see https://github.com/johnsmith0031/alpaca_lora_4bit/blob/main/requirements.txt
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git+https://github.com/huggingface/transformers.git@656e869
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# git+https://github.com/sterlind/GPTQ-for-LLaMa.git@lora_4bit
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git+https://github.com/wassname/peft.git
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@@ -164,7 +164,7 @@ def get_download_links_from_huggingface(model, branch, text_only=False):
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def get_output_folder(model, branch, is_lora, base_folder=None):
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if base_folder is None:
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base_folder = 'models' if not is_lora else 'loras'
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base_folder = 'data/models' if not is_lora else 'data/loras'
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output_folder = f"{'_'.join(model.split('/')[-2:])}"
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if branch != 'main':
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