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-00001-of-00002.safetensors from UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024: direct link, hf CLI and curl.
- Browser
- Download file 4.98 GB
-
https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/resolve/main/model-00001-of-00002.safetensors
- Command line
-
hf download hf://UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/model-00001-of-00002.safetensors
-
curl -L -o model-00001-of-00002.safetensors https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hint_following_reward-1024/resolve/main/model-00001-of-00002.safetensors
4.98 GB
- Xet hash:
- 26cda77d4aa390088b2125fe46ec914ef62113cf2178b54b91e7a9fae219505f
- Size of remote file:
- 4.98 GB
- SHA256:
- 406b4c32e9f6a5c3f518e104712159f9abecb3f69fab33e05599637a19ad04cb
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