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fujin-9b
Burnt-Toast/fujin-9b
fujin-9b is a text generation model from Burnt-Toast. Use it when you need the model to write or continue text. It is set up for peft.
This model is a fine-tuned version of Qwen/Qwen3.5-9B.
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Public
Updated Mar 5, 2026
Parameters
9.7B
19.3 GB on disk
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Repo makeup
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.safetensors19.3 GB · 100%
Parameter types
How the weights are stored.
BF169.7B · 100%
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Base models
Model card
From the Hugging Face model README
output-fujin
This model is a fine-tuned version of Qwen/Qwen3.5-9B.
W&B run: https://wandb.ai/cooawoo-personal/huggingface/runs/sr7glk4m
Training procedure
Hyperparameters
| Parameter | Value |
|---|---|
| Learning rate | 0.0002 |
| LR scheduler | SchedulerType.COSINE |
| Per-device batch size | 1 |
| Gradient accumulation | 8 |
| Effective batch size | 8 |
| Epochs | 1 |
| Max sequence length | 2048 |
| Optimizer | OptimizerNames.PAGED_ADEMAMIX_8BIT |
| Weight decay | 0.01 |
| Warmup ratio | 0.05 |
| Max gradient norm | 1.0 |
| Precision | bf16 |
| Loss type | nll |
LoRA configuration
| Parameter | Value |
|---|---|
| Rank (r) | 128 |
| Alpha | 16 |
| Dropout | 0.05 |
| Target modules | attn.proj, down_proj, gate_proj, in_proj_a, in_proj_b, in_proj_qkv, in_proj_z, k_proj, linear_fc1, linear_fc2, o_proj, out_proj, q_proj, qkv, up_proj, v_proj |
| Quantization | 4-bit (nf4) |
Dataset statistics
| Dataset | Samples | Total tokens | Trainable tokens |
|---|---|---|---|
| rpDungeon/some-revised-datasets/rosier_inf_strict_text.parquet | 36,438 | 65,084,381 | 65,084,381 |
model_name_or_path: Qwen/Qwen3.5-9B
bf16: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
use_liger: true
max_length: 2048
learning_rate: 0.0002
warmup_ratio: 0.05
weight_decay: 0.01
lr_scheduler_type: cosine
label_smoothing_factor: 0.1
per_device_train_batch_size: 1
gradient_accumulation_steps: 8
optim: paged_ademamix_8bit
max_grad_norm: 1.0
use_peft: true
load_in_4bit: true
lora_r: 128
lora_alpha: 16
lora_dropout: 0.05
logging_steps: 1
disable_tqdm: true
save_strategy: steps
save_steps: 500
save_total_limit: 3
report_to: wandb
output_dir: output-fujin
data_config: data.yaml
prepared_dataset: prepared
num_train_epochs: 1
saves_per_epoch: 3
run_name: qwen35-9b-qlora
datasets:
- path: rpDungeon/some-revised-datasets
data_files: rosier_inf_strict_text.parquet
type: text
truncation_strategy: split
shuffle_datasets: true
shuffle_combined: true
shuffle_seed: 42
eval_split: 0.0
split_seed: 42
assistant_only_loss: false
Framework versions
- PEFT 0.18.1
- Loft: 0.1.0
- Transformers: 5.2.0
- Pytorch: 2.10.0
- Datasets: 4.5.0
- Tokenizers: 0.22.2
- Task
- Text Generation
- Library
- peft
- Type
- qwen3_5
- Created
- Mar 4, 2026
- Updated
- Mar 5, 2026