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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, 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, other
Xwinter 120B
A Goliath-120b style frankenmerge of Xwin-LM-70b-v0.1 and WinterGoddess-1.4x-70b. Meant as a slight update to Goliath by using the successor model to Euryale.
There's a similar merge called WinterGoliath-123b by @ChuckMcSneed.
Prompting Format
Vicuna and Alpaca.
Merge process
The models used in the merge are Xwin-LM-70b-v0.1 and WinterGoddess-1.4x-70b.
The layer mix:
- range 0, 16
Xwin
- range 8, 24
WinterGoddess
- range 17, 32
Xwin
- range 25, 40
WinterGoddess
- range 33, 48
Xwin
- range 41, 56
WinterGoddess
- range 49, 64
Xwin
- range 57, 72
WinterGoddess
- range 65, 80
Xwin
Acknowledgements
@Xwin-LM For creating Xwin
@Sao10K For creating WinterGoddess
@alpindale For creating the original Goliath
@chargoddard For developing mergekit.
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