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1.7b-MixtureVitae-web_curated-100BT-longsft_16k
ontocord/1.7b-MixtureVitae-web_curated-100BT-longsft_16k
1.7b-MixtureVitae-web_curated-100BT-longsft_16k is a feature extraction model from ontocord. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- other
- Model type
- opensci
- Access
- Public
- Created
- Apr 10, 2026
- Updated
- Apr 10, 2026
- SHA
- 43659868
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
long-context-mv100bt-web_curated
This model is a fine-tuned version of ontocord/1.7b-MixtureVitae-web_curated-100BT on the long_sft dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0a0+7c8ec84dab.nv25.03
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Feature Extraction
- Library
- transformers
- Type
- opensci
- License
- other
- Created
- Apr 10, 2026
- Updated
- Apr 10, 2026