Files
axolotl/examples/hunyuan/hunyuan-v1-dense-qlora.yaml
NanoCode012 b71482cec5 Feat: add hunyuan v1 (#3016)
* feat: add hunyuan cce support

* feat: update cce docs

* feat: add multipack support for granite and hunyuan

* feat: add hunyuan docs and example config

* feat: update readme instructions to include CCE installation

* fix: chat template log appearing despite tokenizer already having template

* feat: add vram usage

* fix: remove duplicate cce install

* fix: use latest commit of PR in case rebased/pushed

* Revert "fix: use latest commit of PR in case rebased/pushed"

This reverts commit 8b60aa00de.

* feat: update doc as upstream merged
2025-09-10 09:03:30 +07:00

65 lines
1.1 KiB
YAML

base_model: tencent/Hunyuan-0.5B-Instruct
# Automatically upload checkpoint and final model to HF
# hub_model_id: username/custom_model_name
plugins:
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
load_in_8bit: false
load_in_4bit: true
datasets:
- path: fozziethebeat/alpaca_messages_2k_test
type: chat_template
dataset_prepared_path: last_run_prepared
val_set_size: 0.1
output_dir: ./outputs/lora-out
adapter: qlora
lora_model_dir:
sequence_len: 2048
sample_packing: true
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002
bf16: auto
tf32: false
gradient_checkpointing: true
resume_from_checkpoint:
logging_steps: 1
flash_attention: true
warmup_ratio: 0.1
evals_per_epoch: 1
saves_per_epoch: 1
# save_first_step: true # uncomment this to validate checkpoint saving works with your config