SmallThinker-3B-Preview-GGUF

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3
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OTHER
3B params
New
322 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
7GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
3GB+ RAM

Code Examples

Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0
Training Detailstext
neat_packing: true
cutoff_len: 16384
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 3
lr_scheduler_type: cosine
warmup_ratio: 0.02
bf16: true
ddp_timeout: 180000000
weight_decay: 0.0

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