From a994441a91f50add94d8a418429c85e4b09cb109 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 15 Apr 2026 20:09:01 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm Source: Original Platform --- .gitattributes | 38 +++ README.md | 132 ++++++++++ config.json | 25 ++ configuration.json | 1 + generation_config.json | 7 + pytorch_model-00001-of-00003.bin | 3 + pytorch_model-00002-of-00003.bin | 3 + pytorch_model-00003-of-00003.bin | 3 + pytorch_model.bin.index.json | 410 +++++++++++++++++++++++++++++++ special_tokens_map.json | 1 + tokenizer.model | 3 + tokenizer_config.json | 34 +++ 12 files changed, 660 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 configuration.json create mode 100644 generation_config.json create mode 100644 pytorch_model-00001-of-00003.bin create mode 100644 pytorch_model-00002-of-00003.bin create mode 100644 pytorch_model-00003-of-00003.bin create mode 100644 pytorch_model.bin.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..2934f92 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,38 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +pytorch_model-00001-of-00003.bin filter=lfs diff=lfs merge=lfs -text +pytorch_model-00002-of-00003.bin filter=lfs diff=lfs merge=lfs -text +pytorch_model-00003-of-00003.bin filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..ab5fcea --- /dev/null +++ b/README.md @@ -0,0 +1,132 @@ +--- +model-index: +- name: tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm + results: [] +datasets: +- allenai/tulu-2.5-preference-data +- allenai/tulu-v2-sft-mixture +language: +- en +base_model: allenai/tulu-2-13b +license: apache-2.0 +--- +
+Tulu 2.5 banner image +
+ +# Model Card for Tulu V2.5 PPO 13B - UltraFeedback Mean w. 70B UltraFeedback RM + +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](https://huggingface.co/collections/allenai/tulu-v2-suite-6551b56e743e6349aab45101). +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 70B RM trained on the UltraFeedback dataset, and then used the UltraFeedback prompts during PPO training. + +For more details, read the paper: +[Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback](https://arxiv.org/abs/2406.09279). + + +## .Model description + +- **Model type:** One model belonging to a suite of RLHF tuned chat models on a mix of publicly available, synthetic and human-created datasets. +- **Language(s) (NLP):** English +- **License:** Apache 2.0. +- **Finetuned from model:** [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) + +### Model Sources + +- **Repository:** https://github.com/allenai/open-instruct +- **Dataset:** Data used to train this model can be found [here](https://huggingface.co/datasets/allenai/tulu-2.5-preference-data) - specifically the `ultrafeedback_mean_aspects` split. Only the prompts were used. +- **Model Family:** The collection of related models can be found [here](https://huggingface.co/collections/allenai/tulu-v25-suite-66676520fd578080e126f618). +- **Reward Model:** The reward model used during PPO training can be found [here](https://huggingface.co/allenai/tulu-v2.5-70b-uf-rm), and the data used to train it [here](https://huggingface.co/datasets/allenai/tulu-2.5-preference-data) - specifically the `ultrafeedback_mean_aspects` split. +- **Value Model:** The value model trained during PPO training can be found [here](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm-value). + +## Results + +Tulu V2.5 PPO is trained to be a generalist model, and matches or outperforms Tulu 2+DPO 13B. +It even beats Tulu 2+DPO 70B in some cases, although it loses out in harder reasoning tasks. +For details on training and evaluation, read [our paper](https://arxiv.org/abs/2406.09279)! + + +| Model | Size | Alignment | GSM8k 8-shot CoT Acc. | AlpacaEval 2 Winrate (LC) | Average Perf. across Open-Instruct evals | +|-|-|-|-|-|-| +| **Tulu V2.5 PPO 13B (this model)** | 13B | PPO with 70B RM | 58.0 | **26.7** | 62.8 | +| **Tulu V2 DPO 13B** | 13B | DPO | 50.5 | 16.0 | 61.0 | +| **Tulu V2 SFT 13B** | 13B | - | 46.0 | 10.4 | 62.8 | +| **Tulu V2 DPO 70B** | 70B | DPO | **71.5** | 21.2 | **69.4** | + +## Input Format + +The model is trained to use the following format (note the newlines): +``` +<|user|> +Your message here! +<|assistant|> +``` + +For best results, format all inputs in this manner. **Make sure to include a newline after `<|assistant|>`, this can affect generation quality quite a bit.** +We have included a [chat template](https://huggingface.co/docs/transformers/main/en/chat_templating) in the tokenizer implementing this template. + +## Model Family + +[Preference Data](https://huggingface.co/datasets/allenai/tulu-2.5-preference-data), [Prompts Data](https://huggingface.co/datasets/allenai/tulu-2.5-prompts) | DPO Models | PPO Models | Reward Models | Value Models | +|-------------|-------------|-------------|---------------|---------------| +| ultrafeedback_mean_aspects | [tulu-v2.5-dpo-13b-uf-mean](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-uf-mean) | [tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm) | [tulu-v2.5-70b-uf-rm](https://huggingface.co/allenai/tulu-v2.5-70b-uf-rm) | [tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm-value](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm-value) | +| preference_big_mixture | = | [tulu-v2.5-ppo-13b-uf-mean-13b-mix-rm](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-13b-mix-rm) | [tulu-v2.5-13b-preference-mix-rm](https://huggingface.co/allenai/tulu-v2.5-13b-preference-mix-rm) | [tulu-v2.5-ppo-13b-uf-mean-13b-mix-rm-value](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-13b-mix-rm-value) | +| preference_big_mixture | = | [tulu-v2.5-ppo-13b-uf-mean-70b-mix-rm](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-70b-mix-rm) | [tulu-v2.5-70b-preference-mix-rm](https://huggingface.co/allenai/tulu-v2.5-70b-preference-mix-rm) | [tulu-v2.5-ppo-13b-uf-mean-70b-mix-rm-value](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-70b-mix-rm-value) | +| ultrafeedback_mean_aspects | = | [tulu-v2.5-ppo-13b-uf-mean](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean) | [tulu-v2.5-13b-uf-rm](https://huggingface.co/allenai/tulu-v2.5-13b-uf-rm) | [tulu-v2.5-ppo-13b-uf-mean-13b-uf-rm-value](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-13b-uf-rm-value) | +| ultrafeedback_mean_aspects | = | [tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm-mixed-prompts](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm-mixed-prompts) | [tulu-v2.5-70b-uf-rm](https://huggingface.co/allenai/tulu-v2.5-70b-uf-rm) * with extra prompts | [tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm-mixed-prompts-value](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm-mixed-prompts-value) | +| hh_rlhf_60k | [tulu-v2.5-dpo-13b-hh-rlhf-60k](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-hh-rlhf-60k) | [tulu-v2.5-ppo-13b-hh-rlhf-60k](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-hh-rlhf-60k) | [tulu-v2.5-13b-hh-rlhf-60k-rm](https://huggingface.co/allenai/tulu-v2.5-13b-hh-rlhf-60k-rm) | | +| chatbot_arena_2023 | [tulu-v2.5-dpo-13b-chatbot-arena-2023](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-chatbot-arena-2023) | [tulu-v2.5-ppo-13b-chatbot-arena-2023](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-chatbot-arena-2023) | [tulu-v2.5-13b-chatbot-arena-2023-rm](https://huggingface.co/allenai/tulu-v2.5-13b-chatbot-arena-2023-rm) | | +| stack_exchange_60k | [tulu-v2.5-dpo-13b-stackexchange-60k](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-stackexchange-60k) | [tulu-v2.5-ppo-13b-stackexchange-60k](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-stackexchange-60k) | [tulu-v2.5-13b-stackexchange-60k-rm](https://huggingface.co/allenai/tulu-v2.5-13b-stackexchange-60k-rm) | | +| nectar_60k | N/A | [tulu-v2.5-ppo-13b-nectar-60k](https://huggingface.co/allenai/tulu-v2.5-ppo-13b-nectar-60k) | [tulu-v2.5-13b-nectar-60k-rm](https://huggingface.co/allenai/tulu-v2.5-13b-nectar-60k-rm) | | +| nectar | [tulu-v2.5-dpo-13b-nectar](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-nectar) | | | | +| helpsteer | [tulu-v2.5-dpo-13b-helpsteer](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-helpsteer) | | | | +| shp2 | [tulu-v2.5-dpo-13b-shp2](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-shp2) | | | | +| stack_exchange_paired | [tulu-v2.5-dpo-13b-stackexchange](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-stackexchange) | | | | +| ultrafeedback_overall | [tulu-v2.5-dpo-13b-uf-overall](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-uf-overall) | | | | +| capybara | [tulu-v2.5-dpo-13b-capybara](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-capybara) | | | | +| prm800k_pairs_phase2 | [tulu-v2.5-dpo-13b-prm-phase-2](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-prm-phase-2) | | | | +| hh_rlhf | [tulu-v2.5-dpo-13b-hh-rlhf](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-hh-rlhf) | | | | +| chatbot_arena_2024 | [tulu-v2.5-dpo-13b-chatbot-arena-2024](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-chatbot-arena-2024) | | | | +| alpaca_farm_human_pref | [tulu-v2.5-dpo-13b-alpacafarm-human-pref](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-alpacafarm-human-pref) | | | | +| alpaca_farm_gpt4_pref | [tulu-v2.5-dpo-13b-alpacafarm-gpt4-pref](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-alpacafarm-gpt4-pref) | | | | +| orca_dpo_pairs | [tulu-v2.5-dpo-13b-argilla-orca-pairs](https://huggingface.co/allenai/tulu-v2.5-dpo-13b-argilla-orca-pairs) | | | | + +*The extra prompts are all the prompts in the prompts dataset. Default only uses the split `ultrafeedback_prompts`. + +## Intended uses & limitations + +The model was initially fine-tuned on a filtered and preprocessed of the [Tulu V2 mix dataset](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture), which contains a diverse range of human created instructions and synthetic dialogues generated primarily by other LLMs. +We then further aligned the model with a [Jax DPO trainer](https://github.com/hamishivi/EasyLM/blob/main/EasyLM/models/llama/llama_train_dpo.py) built on [EasyLM](https://github.com/young-geng/EasyLM) on the dataset mentioned above. + +## Bias, Risks, and Limitations + +The Tulu models have not been aligned to generate safe completions within the RLHF phase or deployed with in-the-loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so). +It is also unknown what the size and composition of the corpus was used to train the base Llama 2 models, however it is likely to have included a mix of Web data and technical sources like books and code. See the [Falcon 180B model card](https://huggingface.co/tiiuae/falcon-180B#training-data) for an example of this. + + +### Training hyperparameters + +The following hyperparameters were used during PPO training: +- learning_rate: 1e-06 +- total_train_batch_size: 64 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: linear +- lr_scheduler_warmup_ratio: 0.1 +- num_epochs: 1.0 +- KL penalty coefficient: 0.0325 (we found the larger RM benefited from a smaller KL penalty) + +## Citation + +If you find Tulu 2.5 is useful in your work, please cite it with: + +``` +@misc{ivison2024unpacking, + title={{Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback}}, + author={{Hamish Ivison and Yizhong Wang and Jiacheng Liu and Ellen Wu and Valentina Pyatkin and Nathan Lambert and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi}} + year={2024}, + eprint={2406.09279}, + archivePrefix={arXiv}, + primaryClass={cs.CL} +} +``` diff --git a/config.json b/config.json new file mode 100644 index 0000000..09b342d --- /dev/null +++ b/config.json @@ -0,0 +1,25 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 5120, + "initializer_range": 0.02, + "intermediate_size": 13824, + "max_position_embeddings": 4096, + "model_type": "llama", + "num_attention_heads": 40, + "num_hidden_layers": 40, + "num_key_value_heads": 40, + "pad_token_id": 0, + "pretraining_tp": 1, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.31.0", + "use_cache": true, + "vocab_size": 32000 +} diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ 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