Text Generation
GGUF
English

Base Model

Unsloth implementation of Qwen2.5-7B: unsloth/Qwen2.5-7B

Finetune Method

Supervised fine tuning (SFT)

Prompt Template

prompt_tmpl = """Below is a customer comment relating to their banking experience. \
Please output the banking aspects and their related sentiments expressed by the customer. \
Banking aspects must be short nouns or noun-phrases containing no more than 2 words that appear in the comment. \
Sentiments must be either positive, negative or neutral.

Output must follow the following format with NO explanations:
(credit card, positive)
(long queue, negative)
(app experience, neutral)

### Comment:
{comment}

### Response:
"""
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GGUF
Model size
7.62B params
Architecture
qwen2
Hardware compatibility
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Model tree for hanshan1988/unsloth-Qwen2.5-7B-banks-review-gguf

Base model

Qwen/Qwen2.5-7B
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unsloth/Qwen2.5-7B
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Dataset used to train hanshan1988/unsloth-Qwen2.5-7B-banks-review-gguf