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Llama-2-7b-hf-gptq-4bit_GPTQ_trained
mindchain/Llama-2-7b-hf-gptq-4bit_GPTQ_trained
Llama-2-7b-hf-gptq-4bit_GPTQ_trained is a machine learning model from mindchain. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Sep 25, 2023
Repo size
34.1 MB
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At a glance
- Access
- Public
- Created
- Sep 25, 2023
- Updated
- Sep 25, 2023
- SHA
- e5860341
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. -->
Llama-2-7b-hf-gptq-4bit_GPTQ_trained
This model is a fine-tuned version of mindchain/Llama-2-7b-hf-gptq-4bit_GPTQ on the None 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 30
Training results
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Created
- Sep 25, 2023
- Updated
- Sep 25, 2023