---
license: apache-2.0
base_model:
- meta-llama/Llama-3.1-8B-Instruct
---

A preview version of FuseChat-3.0, more details coming soon...

## Training configs
```yaml
### model
model_name_or_path: meta-llama/Llama-3.1-8B-Instruct

### method
stage: sft
do_train: true
finetuning_type: full
deepspeed: examples/deepspeed/ds_z3_config.json

### dataset
dataset: FuseChat-Mixture-v3-SFT
template: llama3
cutoff_len: 2048
overwrite_cache: true
preprocessing_num_workers: 16

### output
output_dir: LLaMA-Factory/saves/llama31/FuseChat-Llama-3.1-8B-SFT-preview
logging_steps: 10
save_steps: 10086
plot_loss: true
overwrite_output_dir: true

### train
per_device_train_batch_size: 8
gradient_accumulation_steps: 2
learning_rate: 5.0e-6
num_train_epochs: 3.0
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: true
ddp_timeout: 180000000

### custom
do_eval: false
packing: false
train_on_prompt: false
flash_attn: fa2
save_strategy: "no"
save_total_limit: 1
seed: 42
save_only_model: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: False
```