44 lines
1.1 KiB
Markdown
44 lines
1.1 KiB
Markdown
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---
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license: apache-2.0
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language:
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- fr
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- en
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- zh
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widget:
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- text: "<s> [|User|] Comment faire un bon plat ? </s>[|Assistant|]"
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---
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Merging stuff to make a potato. Idk about it, might delete later.
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Merge of MiniMerlin via Task arithmetic using mergekit.
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There was no goal except merging. Interest in the outcome tho. I might need to fine-tune it more.
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FT on more french data (Merlin).
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Je pense qu'il s'agit du meilleur model français en 3B. Essayez le.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from peft import PeftModel
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"teilomillet/Potato-3B",
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revision="0.1",
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return_dict=True,
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torch_dtype=torch.bfloat16,
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device_map='auto'
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)
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tokenizer = AutoTokenizer.from_pretrained("teilomillet/Potato-3B")
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tokenizer.pad_token = tokenizer.eos_token
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text = "[|User|] Comment faire un bon plat ? </s>[|Assistant|]"
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inputs = tokenizer(text, return_tensors="pt").to(0)
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outputs = model.generate(**inputs, max_new_tokens=800)
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print(tokenizer.decode(outputs[0], skip_special_tokens=False))
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```
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#merge
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