Model Card for Model ID

Lora fine-tune of Llama-2-7b for english to hinglish translation.

import torch
from transformers import AutoModelForCausalLM, pipeline


PROMPT_TEMPLATE = (
    f"Translate from english to hinglish:\n{{en}}\n---\nTranslation:\n"
)
model_id = "nousresearch/llama-2-7b-hf"
peft_model_id = "nateraw/llama-2-7b-english-to-hinglish"
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto",
    torch_dtype=torch.bfloat16
)
model.load_adapter(peft_model_id)

pipe = pipeline(
    "text-generation",
    model=model,
    tokenizer=model_id,
)

out = pipe(
    PROMPT_TEMPLATE.format(en="Can I pet your dog?"),
    return_full_text=False,
    do_sample=False,
    max_new_tokens=256
)[0]['generated_text']
print(out)

Model Details

Model Description

• Developed by: @nateraw
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• Finetuned from model [optional]: nousresearch/llama-2-7b-hf

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Training procedure

Framework versions

• PEFT 0.6.2

Training procedure

Framework versions

• PEFT 0.6.2

Training procedure

Framework versions

• PEFT 0.6.2