13.02B Llama scale
Captured config identifies LlamaForCausalLM and Safetensors metadata reports 13015864320 parameters.
Open Source Model Profile · allenai
tulu-v2.5-ppo-13b-uf-mean is a 13.02B-parameter Llama assistant model from allenai. Its model card documents PPO training on UltraFeedback with a 13B reward model.
tulu-v2.5-ppo-13b-uf-mean is published by allenai as a Llama-based text-generation model. The captured configuration identifies LlamaForCausalLM and Safetensors metadata reports 13015864320 parameters. According to the model card, it belongs to the Tulu helpful-assistant series and was trained with PPO on the UltraFeedback dataset starting from the Tulu 2 suite.
Captured config identifies LlamaForCausalLM and Safetensors metadata reports 13015864320 parameters.
According to the model card, Tulu models are trained to act as helpful assistants.
According to the model card, this model was trained on the UltraFeedback dataset using PPO with per-aspect fine-grained scores deciding chosen and rejected responses.
According to the model card, a 13B reward model trained on UltraFeedback data was used, with later alignment via a Jax PPO trainer built on EasyLM.
According to the model card, the model is trained to use a specific newline-sensitive input format.
Source: allenai/tulu-v2.5-ppo-13b-uf-mean
Captured: Unknown. Processed: 2026-09-07T19:34:39.751237+00:00.
Model Card for Tulu V2.5 PPO 13B - UltraFeedback Mean Tulu is a series of language models that are trained to act as helpful assistants. Tulu V2.5 is a series of models trained using DPO and PPO starting from the Tulu 2 suite . This model is trained on the UltraFeedback dataset (using the per-aspect/fine-grained scores for deciding chosen and rejected) using PPO. We used a 13B RM trained on the UltraFeedback data, and then re-used the same prompts during PPO training. For more details, read the paper: Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback . .Model description Model type: One model…
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