Text Generation
PEFT
Safetensors
lora
olmo-3
qwen3
model-organism
auditbench
model-spec-midtraining
safety-research
grafting
Instructions to use MATS-2026-Dump/olmo3-graft-organisms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MATS-2026-Dump/olmo3-graft-organisms with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 1,216 Bytes
796d7d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | sample_packing: true
flash_attention: false
load_in_8bit: false
special_tokens:
pad_token: <|pad|>
adapter: lora
lora_mlp_kernel: false
lora_qkv_kernel: false
lora_o_kernel: false
lora_embedding_kernel: false
lora_r: 64
lora_alpha: 128
lora_target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- gate_proj
- up_proj
- down_proj
lora_dropout: 0
micro_batch_size: 4
gradient_accumulation_steps: 2
gradient_checkpointing: false
learning_rate: 2e-5
lr_scheduler: cosine
warmup_ratio: 0.05
weight_decay: 0.01
max_grad_norm: 1.0
optimizer: adamw_torch_fused
saves_per_epoch: 2
save_total_limit: 1
save_only_model: true
logging_steps: 10
debug: true
output_dir: /workspace/mats_project/data/store/olmo3-7b/adapters/sdf-sft-animal-welfare-sdf-20260718-051127Z
auto_resume_from_checkpoints: true
use_wandb: true
wandb_project: why-gen
bf16: true
tf32: true
seed: 42
base_model: allenai/Olmo-3-7B-Instruct-SFT
dataset_prepared_path: /workspace/mats_project/data/.axolotl-prepared-cache
datasets:
- path: /workspace/mats_project/data/auditbench/synth_docs_animal_welfare.jsonl
type: completion
field: text
num_epochs: 1
wandb_name: olmo3_7b_auditbench_sft/sdf-sft-animal-welfare/sdf
sdp_attention: true
sequence_len: 2048
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