Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
llama
Generated from Trainer
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("flytech/Ruckus-13b-X")
model = AutoModelForCausalLM.from_pretrained("flytech/Ruckus-13b-X")Quick Links
Ruckus-13b-X
This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on an unknown 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 6
Training results
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Downloads last month
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Model tree for flytech/Ruckus-13b-X
Base model
meta-llama/Llama-2-13b-hf
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="flytech/Ruckus-13b-X")