Quantization made by Richard Erkhov.
TinyLlama-Cinder-Agent-Rag - AWQ
Original model description:
license: mit
base_model: Josephgflowers/TinyLlama-3T-Cinder-v1.2
tags:
generated_from_trainer
model-index:
name: TinyLlama-Cinder-Agent-Rag
results: []
This is first pass training. Further training and model update coming.
TinyLlama-Cinder-Agent-Rag
Special Thanks to
https://nationtech.io/ for their generous sponorship in training this model.
image/png Model description
This models is trained for RAG, Summary, Function Calling and Tool usage. Trained off of Cinder. Cinder is a chatbot designed for chat about STEM topics and storytelling. More information coming.
More model versions coming soon.
Intended uses & limitations
RAG, Chat, Summary, and tool usage.
image/png image/png Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 12
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.19.1
Tokenizers 0.19.1
