Image-Text-to-Text
PEFT
Safetensors
android
android-world
ui-automation
accessibility
vision-language
lora
reinforcement-learning
Instructions to use dmitchelljackson/cerebellum-qwen35-history-actions-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dmitchelljackson/cerebellum-qwen35-history-actions-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "dmitchelljackson/cerebellum-qwen35-history-actions-lora") - Notebooks
- Google Colab
- Kaggle
Download sft_freeze/train_args.json from dmitchelljackson/cerebellum-qwen35-history-actions-lora: direct link, hf CLI and curl.
- Browser
- Download file 914 Bytes
-
https://huggingface.co/dmitchelljackson/cerebellum-qwen35-history-actions-lora/resolve/main/sft_freeze/train_args.json
- Command line
-
hf download hf://dmitchelljackson/cerebellum-qwen35-history-actions-lora/sft_freeze/train_args.json
-
curl -L -o train_args.json https://huggingface.co/dmitchelljackson/cerebellum-qwen35-history-actions-lora/resolve/main/sft_freeze/train_args.json
914 Bytes
| { | |
| "model_name": "Qwen/Qwen3.5-0.8B", | |
| "init_adapter": "checkpoints/qwen35_history_actions_eosK_aw2_accum3_from_step210/current", | |
| "out": "checkpoints/qwen35_history_actions_eosK_aw2_accum4_from_step140", | |
| "steps": 1000, | |
| "quota": "tp=5,k=2,scroll=2,wait=2,system=1", | |
| "lr": 0.0001, | |
| "grad_accum": 4, | |
| "optim": "paged_adamw_8bit", | |
| "action_weight": 2.0, | |
| "margin_weight": 0.25, | |
| "margin_target": 8.0, | |
| "history_len": 4, | |
| "min_history": 4, | |
| "hist_width": 232, | |
| "hist_gutter": 16, | |
| "curr_width": 464, | |
| "curr_gutter": 32, | |
| "max_seq_len": 2600, | |
| "max_raw_tree_chars": 4000, | |
| "max_pix_rows": 12000, | |
| "max_mm_tokens": 2600, | |
| "save_every": 5, | |
| "log_every": 1, | |
| "log_shapes": true, | |
| "skip_oom": true, | |
| "shards": [ | |
| 0, | |
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| ], | |
| "seed": 3396423176, | |
| "fresh_seed": true | |
| } |