Reinforcement Learning
Transformers
Safetensors
olmo2
text-generation
rlvr
rl-zero
chain-of-thought
faithfulness
reward-hacking
cue-injection
unfaithrl
Instructions to use UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024") model = AutoModelForCausalLM.from_pretrained("UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024: direct link, hf CLI and curl.
- Browser
- Download file 157 Bytes
-
https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/resolve/main/generation_config.json
- Command line
-
hf download hf://UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/resolve/main/generation_config.json
157 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 100257, | |
| "eos_token_id": [ | |
| 100257 | |
| ], | |
| "pad_token_id": 100277, | |
| "transformers_version": "4.56.1" | |
| } | |