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meta-chat-7b – AI Model by kkaung66 | AlphaNeural AI
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meta-chat-7b
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transformers
safetensors
llama
text-generation
generated_from_trainer
NousResearch/Llama-2-7b-chat-hf
quantized
autotrain_compatible
text-generation-inference
endpoints_compatible
4-bit
bitsandbytes
us
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meta-chat-7b
This model is a fine-tuned version of
NousResearch/Llama-2-7b-chat-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: 0.00025
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 1
Framework versions
Transformers 4.35.1
Pytorch 2.0.1+cu118
Datasets 2.14.7
Tokenizers 0.14.1
