Downloads · 30 days
15
25% of all-time downloads
gptq_small
stephen-steckler/gptq_small
gptq_small is a text generation model from stephen-steckler. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
All-time downloads
60
Public
Repo size
102 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt67.3 MB · 50%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023
- SHA
- 2f2ec3a1
Try a prompt
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. -->
gptq-small-nids-out
This model is a fine-tuned version of TheBloke/Llama-2-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0027
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: 1.7e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0028 | 1.0 | 371 | 0.0027 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023