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mongol-editor-llm-v1 – AI Model by Tsedee | AlphaNeural AI
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mongol-editor-llm-v1
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled
endpoints_compatible
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mongol-editor-llm-v1
This model was trained from scratch on the None 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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: cosine
lr_scheduler_warmup_steps: 0.05
num_epochs: 2
Training results
Framework versions
PEFT 0.18.1
Transformers 5.5.0
Pytorch 2.6.0+cu124
Datasets 4.8.4
Tokenizers 0.22.2
