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HuggingFaceH4_-_mistral-7b-grok-8bits – AI Model by RichardErkhov | AlphaNeural AI
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HuggingFaceH4_-_mistral-7b-grok-8bits
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transformers
safetensors
mistral
text-generation
conversational
autotrain_compatible
text-generation-inference
endpoints_compatible
8-bit
bitsandbytes
us
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mistral-7b-grok - bnb 8bits
Model creator:
https://huggingface.co/HuggingFaceH4/
Original model:
https://huggingface.co/HuggingFaceH4/mistral-7b-grok/
Original model description:
license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:
alignment-handbook
generated_from_trainer datasets:
HuggingFaceH4/grok-conversation-harmless
HuggingFaceH4/ultrachat_200k model-index:
name: mistral-7b-grok results: []
Mistral 7B Grok
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
that has been aligned via Constitutional AI to mimic the style of
xAI's Grok assistant
.
It achieves the following results on the evaluation set:
Loss: 0.9348
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 64
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
Training Loss
Epoch
Step
Validation Loss
0.9326
1.0
545
0.9348
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0
