---

datasets:
- Minami-su/toxic-sft-zh
- llm-wizard/alpaca-gpt4-data-zh
language:
- zh
- en
license: llama3
pipeline_tag: text-generation
tags:
- text-generation-inference
- code
- unsloth
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)