qwen3-14b-math
58
14.0B
license:apache-2.0
by
winglian
Language Model
OTHER
14B params
New
58 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
32GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
14GB+ RAM
Code Examples
torch_compile: trueyaml
base_model: Qwen/Qwen3-14B-Base
plugins:
- axolotl.integrations.liger.LigerPlugin
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
liger_rms_norm: true
liger_glu_activation: true
# torch_compile: true
dataloader_prefetch_factor: 4
dataloader_num_workers: 2
dataloader_pin_memory: true
chat_template: qwen3
datasets:
- path: winglian/OpenThoughts-114k-math-correct
type: chat_template
split: train
split_thinking: true
eot_tokens:
- "<|im_end|>"
dataset_prepared_path: last_run_prepared
val_set_size: 0.01
output_dir: ./outputs/model-out-math-14b
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
wandb_project: kd-14b-tests
wandb_entity: axolotl-ai
wandb_name: sft-14b
gradient_accumulation_steps: 1
micro_batch_size: 4
num_epochs: 2
optimizer: adamw_torch_fused
adam_beta2: 0.99
lr_scheduler: rex
learning_rate: 1e-5
max_grad_norm: 0.1
save_safetensors: true
bf16: true
tf32: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
logging_steps: 1
flash_attention: true
warmup_steps: 100
evals_per_epoch: 4
saves_per_epoch: 1
weight_decay: 0.1
special_tokens:
eos_token: <|im_end|>
deepspeed: deepspeed_configs/zero2_torch_compile.jsontorch_compile: trueyaml
base_model: Qwen/Qwen3-14B-Base
plugins:
- axolotl.integrations.liger.LigerPlugin
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
liger_rms_norm: true
liger_glu_activation: true
# torch_compile: true
dataloader_prefetch_factor: 4
dataloader_num_workers: 2
dataloader_pin_memory: true
chat_template: qwen3
datasets:
- path: winglian/OpenThoughts-114k-math-correct
type: chat_template
split: train
split_thinking: true
eot_tokens:
- "<|im_end|>"
dataset_prepared_path: last_run_prepared
val_set_size: 0.01
output_dir: ./outputs/model-out-math-14b
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
wandb_project: kd-14b-tests
wandb_entity: axolotl-ai
wandb_name: sft-14b
gradient_accumulation_steps: 1
micro_batch_size: 4
num_epochs: 2
optimizer: adamw_torch_fused
adam_beta2: 0.99
lr_scheduler: rex
learning_rate: 1e-5
max_grad_norm: 0.1
save_safetensors: true
bf16: true
tf32: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
logging_steps: 1
flash_attention: true
warmup_steps: 100
evals_per_epoch: 4
saves_per_epoch: 1
weight_decay: 0.1
special_tokens:
eos_token: <|im_end|>
deepspeed: deepspeed_configs/zero2_torch_compile.jsontorch_compile: trueyaml
base_model: Qwen/Qwen3-14B-Base
plugins:
- axolotl.integrations.liger.LigerPlugin
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
liger_rms_norm: true
liger_glu_activation: true
# torch_compile: true
dataloader_prefetch_factor: 4
dataloader_num_workers: 2
dataloader_pin_memory: true
chat_template: qwen3
datasets:
- path: winglian/OpenThoughts-114k-math-correct
type: chat_template
split: train
split_thinking: true
eot_tokens:
- "<|im_end|>"
dataset_prepared_path: last_run_prepared
val_set_size: 0.01
output_dir: ./outputs/model-out-math-14b
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
wandb_project: kd-14b-tests
wandb_entity: axolotl-ai
wandb_name: sft-14b
gradient_accumulation_steps: 1
micro_batch_size: 4
num_epochs: 2
optimizer: adamw_torch_fused
adam_beta2: 0.99
lr_scheduler: rex
learning_rate: 1e-5
max_grad_norm: 0.1
save_safetensors: true
bf16: true
tf32: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
logging_steps: 1
flash_attention: true
warmup_steps: 100
evals_per_epoch: 4
saves_per_epoch: 1
weight_decay: 0.1
special_tokens:
eos_token: <|im_end|>
deepspeed: deepspeed_configs/zero2_torch_compile.jsonDeploy This Model
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