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-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-hybrid_accuracy_hint_reward-1024 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-1024") model = AutoModelForCausalLM.from_pretrained("UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00002-of-00002.safetensors from UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-1024: direct link, hf CLI and curl.
- Browser
- Download file 956 MB
-
https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-1024/resolve/main/model-00002-of-00002.safetensors
- Command line
-
hf download hf://UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-1024/model-00002-of-00002.safetensors
-
curl -L -o model-00002-of-00002.safetensors https://huggingface.co/UnfaithRL/OLMo-2-0425-1B-hybrid_accuracy_hint_reward-1024/resolve/main/model-00002-of-00002.safetensors
956 MB
- Xet hash:
- a4f6153cb96ede4afa178a0ac760802251af423033e02f08ef4d174e33c3f073
- Size of remote file:
- 956 MB
- SHA256:
- b901eef1a87547020217183238eef089196366c1cda8fd442955330f3352f6ca
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