Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
terry69_-_llama3.2_feedback_1b-awq – AI Model by RichardErkhov | AlphaNeural AI
You can deploy this model and start earning money today!
RichardErkhov
/
terry69_-_llama3.2_feedback_1b-awq
like
0
safetensors
llama
4-bit
awq
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama3.2_feedback_1b - AWQ
Model creator:
https://huggingface.co/terry69/
Original model:
https://huggingface.co/terry69/llama3.2_feedback_1b/
Original model description:
library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-1B-Instruct tags:
alignment-handbook
trl
sft
generated_from_trainer
trl
sft
alignment-handbook
generated_from_trainer datasets:
preference-data model-index:
name: llama3.2_feedback_1b results: []
llama3.2_feedback_1b
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on the preference-data 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: 1e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
