commit 9578b69cc6565493ae49e3ba6970edb09a4e66b3 Author: ModelHub XC Date: Mon Jul 6 02:43:13 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: QuantFactory/Eurus-7b-kto-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..2e5a551 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,49 @@ +*.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 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sha256:0fa330d85dc375c5d5b1dbc488d4b2679aad37766fc4ecf6cff7a45b9bdf8969 +size 7695857856 diff --git a/README.md b/README.md new file mode 100644 index 0000000..1de59db --- /dev/null +++ b/README.md @@ -0,0 +1,57 @@ +--- +license: apache-2.0 +datasets: +- openbmb/UltraFeedback +- openbmb/UltraInteract_pair +tags: +- reasoning +- preference_learning +- kto +pipeline_tag: text-generation +base_model: openbmb/Eurus-7b-kto +--- + +# openbmb/Eurus-7b-kto-GGUF + +- This is quantized version of [openbmb/Eurus-7b-kto](https://huggingface.co/openbmb/Eurus-7b-kto) + +# Model Description + +Eurus-7B-KTO is [KTO](https://arxiv.org/abs/2402.01306) fine-tuned from [Eurus-7B-SFT](https://huggingface.co/openbmb/Eurus-7b-sft) on all multi-turn trajectory pairs in [UltraInteract](https://huggingface.co/openbmb/UltraInteract) and all pairs in [UltraFeedback](https://huggingface.co/openbmb/UltraFeedback). + +It achieves the best overall performance among open-source models of similar sizes and even outperforms specialized models in corresponding domains in many cases. Notably, Eurus-7B-KTO outperforms baselines that are 5× larger. + +## Usage + +We apply tailored prompts for coding and math, consistent with UltraInteract data formats: + +**Coding** + +``` +[INST] Write Python code to solve the task: +{Instruction} [/INST] +``` +**Math-CoT** + +``` +[INST] Solve the following math problem step-by-step. +Simplify your answer as much as possible. Present your final answer as \\boxed{Your Answer}. +{Instruction} [/INST] +``` + +**Math-PoT** + +``` +[INST] Tool available: +[1] Python interpreter +When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. +Solve the following math problem step-by-step. +Simplify your answer as much as possible. +{Instruction} [/INST] +``` + +## Evaluation + - Eurus, both the 7B and 70B variants, achieve the best overall performance among open-source models of similar sizes. Eurus even outperforms specialized models in corresponding domains in many cases. Notably, Eurus-7B outperforms baselines that are 5× larger, and Eurus-70B achieves better performance than GPT-3.5 Turbo. + - Preference learning with UltraInteract can further improve performance, especially in math and the multi-turn ability. +stats + diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file diff --git a/figures_main_exp.png b/figures_main_exp.png new file mode 100644 index 0000000..5e95f9d Binary files /dev/null and b/figures_main_exp.png differ