Instructions to use arcadia-impact/scimt-dispatch-final-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcadia-impact/scimt-dispatch-final-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arcadia-impact/scimt-dispatch-final-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download control/midtrain/checkpoint.json from arcadia-impact/scimt-dispatch-final-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.6 kB
-
https://huggingface.co/arcadia-impact/scimt-dispatch-final-v1/resolve/main/control/midtrain/checkpoint.json
- Command line
-
hf download hf://arcadia-impact/scimt-dispatch-final-v1/control/midtrain/checkpoint.json
-
curl -L -o checkpoint.json https://huggingface.co/arcadia-impact/scimt-dispatch-final-v1/resolve/main/control/midtrain/checkpoint.json
1.6 kB
| { | |
| "experiment": "scimt-train:control-midtrain", | |
| "spec": null, | |
| "kind": null, | |
| "note": "Spec-free training stage (scimt.train.train_dataset) \u2014 a post-training link in a staged chain, not a spec install.", | |
| "train": { | |
| "data": "/workspace/final_v1/control/data/leg_a.jsonl", | |
| "dataset_meta": { | |
| "adhoc": true | |
| }, | |
| "stage": "midtrain_dispatch_final_v1", | |
| "seed": 42, | |
| "load_checkpoint_path": null, | |
| "grpo": null, | |
| "lora": null | |
| }, | |
| "run_name": "control-midtrain", | |
| "pointer_file": "/workspace/final_v1/control/midtrain/ckpt_control-midtrain.txt", | |
| "backend": "axolotl", | |
| "sampler": "/workspace/final_v1/control/midtrain/checkpoints/checkpoint-381", | |
| "state": "/workspace/final_v1/control/midtrain/checkpoints/checkpoint-381", | |
| "model": "gemma3_12b", | |
| "meta": { | |
| "experiment": "scimt-train:control-midtrain", | |
| "spec": null, | |
| "kind": null, | |
| "note": "Spec-free training stage (scimt.train.train_dataset) \u2014 a post-training link in a staged chain, not a spec install.", | |
| "train": { | |
| "data": "/workspace/final_v1/control/data/leg_a.jsonl", | |
| "dataset_meta": { | |
| "adhoc": true | |
| }, | |
| "stage": "midtrain_dispatch_final_v1", | |
| "seed": 42, | |
| "load_checkpoint_path": null, | |
| "grpo": null, | |
| "lora": null | |
| }, | |
| "run_name": "control-midtrain", | |
| "pointer_file": "/workspace/final_v1/control/midtrain/ckpt_control-midtrain.txt" | |
| }, | |
| "sampler_path": "/workspace/final_v1/control/midtrain/checkpoints/checkpoint-381", | |
| "state_path": "/workspace/final_v1/control/midtrain/checkpoints/checkpoint-381" | |
| } |