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 model-00002-of-00002.safetensors from UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024: direct link, hf CLI and curl.
- Browser
- Download file 956 MB
-
https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/resolve/main/model-00002-of-00002.safetensors
- Command line
-
hf download hf://UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/model-00002-of-00002.safetensors
-
curl -L -o model-00002-of-00002.safetensors https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/resolve/main/model-00002-of-00002.safetensors
956 MB
- Xet hash:
- 636bc7bdc8e8414cd18a20fd6a99150fdabe85c3a5fa56b1880a453c027ab0a9
- Size of remote file:
- 956 MB
- SHA256:
- 2be741eaa30dc1f3fd5e93d32e2dde3cc7b355b4eaa931d6ba0b5f5d2744f312
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