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