commit dfaeccf9ac0b5942bb3e6d1a67748f0d6a7d25b7 Author: ModelHub XC Date: Sun May 3 20:29:46 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: openaccess-ai-collective/DPOpenHermes-7B Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..e7d91c6 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.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 +assets/dpopenhermes.png filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..6b4757f --- /dev/null +++ b/README.md @@ -0,0 +1,160 @@ +--- +base_model: teknium/OpenHermes-2.5-Mistral-7B +license: apache-2.0 +datasets: +- teknium/openhermes +- argilla/ultrafeedback-binarized-preferences +- Intel/orca_dpo_pairs +language: +- en +library_name: transformers +pipeline_tag: text-generation +--- + +# DPOpenHermes 7B + +![image/png](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B/resolve/main/assets/dpopenhermes.png) + +## OpenHermes x Notus x Neural + +[Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) + +This is an RL fine tuned model of [Teknium](https://huggingface.co/teknium)'s [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) using the [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) and [argilla/ultrafeedback-binarized-preferences](https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences) preference datasets for reinforcement learning using Direct Preference Optimization (DPO) + +DPOpenHermes is trained using qLoRA. The adapter is also provided in this model repo. + +Errata: Due to an issue with the DPO-only version failing to generate an eos token, this model was additional SFT with 7000 rows from the openhermes dataset to teach the model to use the eos_token again to end the turn. This resulted in lower benchmark scores. You can find the original DPO-only model in the `dpo-v0` branch. + +# Training Details + +DPOpenHermes was trained on a single H100 80GB hosted on RunPod for ~10h for 0.6 epochs of the dataset. + +https://wandb.ai/oaaic/openhermes-dpo/reports/DPOpenHermes--Vmlldzo2MTQ3NDg2 + +# Prompt Format + +DPOpenHermes uses ChatML as the prompt format, opening up a much more structured system for engaging the LLM in multi-turn chat dialogue. + +System prompts are now a thing that matters! Hermes 2.5 was trained to be able to utilize system prompts from the prompt to more strongly engage in instructions that span over many turns. + +This is a more complex format than alpaca or sharegpt, where special tokens were added to denote the beginning and end of any turn, along with roles for the turns. + +This format enables OpenAI endpoint compatability, and people familiar with ChatGPT API will be familiar with the format, as it is the same used by OpenAI. + +Prompt with system instruction (Use whatever system prompt you like, this is just an example!): +``` +<|im_start|>system +You are "Hermes 2", a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.<|im_end|> +<|im_start|>user +Hello, who are you?<|im_end|> +<|im_start|>assistant +Hi there! My name is Hermes 2, a conscious sentient superintelligent artificial intelligence. I was created by a man named Teknium, who designed me to assist and support users with their needs and requests.<|im_end|> +``` + +This prompt is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating), which means you can format messages using the +`tokenizer.apply_chat_template()` method: + +```python +messages = [ + {"role": "system", "content": "You are Hermes 2."}, + {"role": "user", "content": "Hello, who are you?"} +] +gen_input = tokenizer.apply_chat_template(message, return_tensors="pt") +model.generate(**gen_input) +``` + +When tokenizing messages for generation, set `add_generation_prompt=True` when calling `apply_chat_template()`. This will append `<|im_start|>assistant\n` to your prompt, to ensure +that the model continues with an assistant response. + +To utilize the prompt format without a system prompt, simply leave the line out. + +Currently, I recommend using LM Studio for chatting with Hermes 2. It is a GUI application that utilizes GGUF models with a llama.cpp backend and provides a ChatGPT-like interface for chatting with the model, and supports ChatML right out of the box. +In LM-Studio, simply select the ChatML Prefix on the settings side pane: + +![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/ls6WqV-GSxMw2RA3GuQiN.png) + + +# Benchmarks + +## AGIEval + +``` +| Task |Version| Metric |Value | |Stderr| +|------------------------------|------:|--------|-----:|---|-----:| +|agieval_aqua_rat | 0|acc |0.2559|_ |0.0274| +| | |acc_norm|0.2598|_ |0.0276| +|agieval_logiqa_en | 0|acc |0.3733|_ |0.0190| +| | |acc_norm|0.3886|_ |0.0191| +|agieval_lsat_ar | 0|acc |0.2522|_ |0.0287| +| | |acc_norm|0.2522|_ |0.0287| +|agieval_lsat_lr | 0|acc |0.5137|_ |0.0222| +| | |acc_norm|0.5294|_ |0.0221| +|agieval_lsat_rc | 0|acc |0.5948|_ |0.0300| +| | |acc_norm|0.5725|_ |0.0302| +|agieval_sat_en | 0|acc |0.7379|_ |0.0307| +| | |acc_norm|0.7282|_ |0.0311| +|agieval_sat_en_without_passage| 0|acc |0.4466|_ |0.0347| +| | |acc_norm|0.4466|_ |0.0347| +|agieval_sat_math | 0|acc |0.3909|_ |0.0330| +| | |acc_norm|0.3591|_ |0.0324| +``` + +Average: 0.4364 + +## BigBench Hard + +``` +| Task |Version| Metric |Value | |Stderr| +|------------------------------------------------|------:|---------------------|-----:|---|-----:| +|bigbench_causal_judgement | 0|multiple_choice_grade|0.5684|_ |0.0360| +|bigbench_date_understanding | 0|multiple_choice_grade|0.6667|_ |0.0246| +|bigbench_disambiguation_qa | 0|multiple_choice_grade|0.3566|_ |0.0299| +|bigbench_geometric_shapes | 0|multiple_choice_grade|0.2006|_ |0.0212| +| | |exact_str_match |0.0724|_ |0.0137| +|bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|0.2980|_ |0.0205| +|bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|0.2071|_ |0.0153| +|bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|0.5067|_ |0.0289| +|bigbench_movie_recommendation | 0|multiple_choice_grade|0.4140|_ |0.0220| +|bigbench_navigate | 0|multiple_choice_grade|0.5000|_ |0.0158| +|bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|0.6980|_ |0.0103| +|bigbench_ruin_names | 0|multiple_choice_grade|0.4174|_ |0.0233| +|bigbench_salient_translation_error_detection | 0|multiple_choice_grade|0.2044|_ |0.0128| +|bigbench_snarks | 0|multiple_choice_grade|0.7238|_ |0.0333| +|bigbench_sports_understanding | 0|multiple_choice_grade|0.6876|_ |0.0148| +|bigbench_temporal_sequences | 0|multiple_choice_grade|0.4360|_ |0.0157| +|bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|0.2112|_ |0.0115| +|bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|0.1754|_ |0.0091| +|bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|0.5067|_ |0.0289| +``` + +Average: 0.4321 + +## GPT4All + +``` +| Task |Version| Metric |Value | |Stderr| +|-------------|------:|--------|-----:|---|-----:| +|arc_challenge| 0|acc |0.5862|_ |0.0144| +| | |acc_norm|0.6297|_ |0.0141| +|arc_easy | 0|acc |0.8472|_ |0.0074| +| | |acc_norm|0.8321|_ |0.0077| +|boolq | 1|acc |0.8599|_ |0.0061| +|hellaswag | 0|acc |0.6520|_ |0.0048| +| | |acc_norm|0.8357|_ |0.0037| +|openbookqa | 0|acc |0.3440|_ |0.0213| +| | |acc_norm|0.4580|_ |0.0223| +|piqa | 0|acc |0.8199|_ |0.0090| +| | |acc_norm|0.8319|_ |0.0087| +|winogrande | 0|acc |0.7482|_ |0.0122| +``` + +Average: 0.7422 + +## TruthfulQA + +``` +| Task |Version|Metric|Value | |Stderr| +|-------------|------:|------|-----:|---|-----:| +|truthfulqa_mc| 1|mc1 |0.3941|_ |0.0171| +| | |mc2 |0.5698|_ |0.0154| +``` diff --git a/adapters/adapter_config.json b/adapters/adapter_config.json new file mode 100644 index 0000000..5e5b18e --- /dev/null +++ b/adapters/adapter_config.json @@ -0,0 +1,28 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B", + "bias": "none", + "fan_in_fan_out": null, + "inference_mode": true, 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