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-hybrid_accuracy_hint_reward-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-512 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-512") model = AutoModelForCausalLM.from_pretrained("UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00001-of-00002.safetensors from UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-512: direct link, hf CLI and curl.
- Browser
- Download file 4.98 GB
-
https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-512/resolve/main/model-00001-of-00002.safetensors
- Command line
-
hf download hf://UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-512/model-00001-of-00002.safetensors
-
curl -L -o model-00001-of-00002.safetensors https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-512/resolve/main/model-00001-of-00002.safetensors
4.98 GB
- Xet hash:
- fd5a7de61f0fbbb57d22b242997afb698f701e19d212c875325536d8b3637e55
- Size of remote file:
- 4.98 GB
- SHA256:
- 69ee540359e5842bf58ea230d189d1ef8dc82aab5f52165c81a1acd57f4014d6
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