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---
datasets:
- Minami-su/toxic-sft-zh
- llm-wizard/alpaca-gpt4-data-zh
- stephenlzc/stf-alpaca
language:
- zh
- en
license: mit
pipeline_tag: text-generation
tags:
- text-generation-inference
- code
- unsloth
- NSFW
task_categories:
- conversational
base_model: cognitivecomputations/dolphin-2.9-llama3-8b
widget:
- text: >-
Is this review positive or negative? Review: Best cast iron skillet you will
ever buy.
example_title: Sentiment analysis
- text: >-
Barack Obama nominated Hilary Clinton as his secretary of state on Monday.
He chose her because she had ...
example_title: Coreference resolution
- text: >-
On a shelf, there are five books: a gray book, a red book, a purple book, a
blue book, and a black book ...
example_title: Logic puzzles
- text: >-
The two men running to become New York City's next mayor will face off in
their first debate Wednesday night ...
example_title: Reading comprehension
---
## Model Details
### Model Description
It's my first finetune exmaple.
Using `cognitivecomputations/dolphin-2.9-llama3-8b` as base model, and finetune with `Minami-su/toxic-sft-zh` and `llm-wizard/alpaca-gpt4-data-zh` to let tha model support Chinese.
## Training Procedure
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1bTLjWTVKgXJfdc1T-roMwa3k1NIERYyC?usp=sharing)
### Training Data
**Base Model**
🐬[cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co./cognitivecomputations/dolphin-2.9-llama3-8b)
**Dataset**
- [Minami-su/toxic-sft-zh](https://huggingface.co./datasets/Minami-su/toxic-sft-zh)
- [llm-wizard/alpaca-gpt4-data-zh](https://huggingface.co./datasets/llm-wizard/alpaca-gpt4-data-zh)