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Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-r8_bs4
davisrbr/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-r8_bs4
Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-r8_bs4 is a machine learning model from davisrbr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 18, 2024
- Updated
- Aug 19, 2024
- SHA
- 8f057445
Base models
Datasets
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. -->
Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-r8_bs4
This model is a fine-tuned version of ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16 on the red_pajama-data-1_t-sample 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 50000
Framework versions
- PEFT 0.11.1
- Transformers 4.40.1
- Pytorch 2.3.1
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Aug 18, 2024
- Updated
- Aug 19, 2024