ModelHub XC 9578b69cc6 初始化项目,由ModelHub XC社区提供模型
Model: QuantFactory/Eurus-7b-kto-GGUF
Source: Original Platform
2026-07-06 02:43:13 +08:00

license, datasets, tags, pipeline_tag, base_model
license datasets tags pipeline_tag base_model
apache-2.0
openbmb/UltraFeedback
openbmb/UltraInteract_pair
reasoning
preference_learning
kto
text-generation openbmb/Eurus-7b-kto

openbmb/Eurus-7b-kto-GGUF

Model Description

Eurus-7B-KTO is KTO fine-tuned from Eurus-7B-SFT on all multi-turn trajectory pairs in UltraInteract and all pairs in 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
Description
Model synced from source: QuantFactory/Eurus-7b-kto-GGUF
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