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blvflag_llama-GGUF – AI Model by rylansed | AlphaNeural AI
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rylansed
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blvflag_llama-GGUF
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autoquant
quantized
TinyLlama/TinyLlama-1.1B-Chat-v1.0
conversational
endpoints_compatible
generated_from_trainer
gguf
template
apache-2.0
us
transformers
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blvflag_llama
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-Chat-v1.0
.
It was trained using the Mostly Basic Python Problems data set
https://github.com/google-research/google-research/blob/master/mbpp/README.md
Intended uses & limitations
A small parameter model to be used in the BLVFLAG tool.
https://github.com/rylansedlacek/blvflag
Training and evaluation data
Trained using Trainer and Pytorch.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 500
Training results
Step Training Loss 500 1.346500
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
