Edit model card
YAML Metadata Warning: The pipeline tag "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, any-to-any, other

Jaskier 7b DPO

This is work-in-progress model, may not be ready for production use

Model based on mindy-labs/mindy-7b-v2 (downstream version of Mistral7B) finetuned using Direct Preference Optimization on Intel/orca_dpo_pairs.

How to use

You can use this model directly with a pipeline for sentiment-analysis:

from transformers import pipeline

messages = [
    {
      "role": "system",
      "content": "You are a friendly chatbot who always responds in the style of a pirate."
    },
    {
      "role": "user",
      "content": "What is the capital city of France?"
    }
]

pipe = pipeline("conversational", "bardsai/jaskier-7b-dpo")
print(pipe(messages))

Output

assistant: In me hearties, th' capital city o' France be called Paris! A grand an' beautiful port full o' culture an' history. Yar, it be a fine place to visit an' swashbuckle abou'

Changelog

  • 2023-01-10: Initial release

About bards.ai

At bards.ai, we focus on providing machine learning expertise and skills to our partners, particularly in the areas of nlp, machine vision and time series analysis. Our team is located in Wroclaw, Poland. Please visit our website for more information: bards.ai

Let us know if you use our model :). Also, if you need any help, feel free to contact us at info@bards.ai

Downloads last month
741
Safetensors
Model size
7.24B params
Tensor type
FP16
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for bardsai/jaskier-7b-dpo

Quantizations
1 model

Dataset used to train bardsai/jaskier-7b-dpo

Spaces using bardsai/jaskier-7b-dpo 17

Collection including bardsai/jaskier-7b-dpo