HERMES 4 TECHNICAL REPORT (August 2025) скачать в хорошем качестве

HERMES 4 TECHNICAL REPORT (August 2025)

Title: Hermes 4 Technical Report (Aug 2025) Link: http://arxiv.org/abs/2508.18255v1 Date: August 2025 Summary: This paper presents Hermes 4, a family of hybrid reasoning models. It details the challenges in data curation, synthesis, training, and evaluation at scale. It also comprehensively evaluates the models across various benchmarks like mathematical reasoning, coding, knowledge, comprehension and alignment. Finally, it releases model weights for open research. Key Topics: Hybrid Reasoning Models Instruction Following Data Curation Data Synthesis Training Methodology Evaluation Benchmarks Mathematical Reasoning Coding Knowledge Comprehension Alignment Open Weight Models RefusalBench Chapters: 00:00 - Introduction to Hermes IV 00:12 - Hermes IV Technical Report 00:23 - Pushing Sophisticated Reasoning 00:29 - Hermes IV: A New Family of Models 00:39 - Combining Structured Thinking 00:50 - Lightning Summary 01:09 - Goals of the Report 01:14 - Data Forage 01:26 - Big Takeaway 01:38 - Pushing Open Research Forward 01:43 - Unpacking Hermes IV 01:58 - Addressing Long-Standing Issues 02:11 - It Hinders Science 02:22 - Three Core Things 02:31 - Training Methodology 02:40 - Comprehensive Evaluation 02:56 - Building Complex Systems 03:07 - Fair Question 03:15 - Lowering the Barrier 03:27 - The Foundation: Data 03:42 - Balancing Knowledge 03:49 - How Are These Different? 03:58 - Core Innovation 04:13 - How Does This Work? 04:31 - Processing Steps 04:39 - Starting with Seed Data 04:46 - Step One: Cleaning 04:55 - Cleaning Continued 05:03 - Then Comes Transformation 05:14 - Instruction Generation 05:26 - Contextual Instructions 05:32 - Answer Generation 05:37 - Quality Control 05:58 - Key Detail 06:12 - That is Clever 06:16 - Higher Order Graphs 06:23 - Factories Building Factories 06:35 - How Do They Guarantee Quality? 06:46 - Rejection Sampling 06:54 - Generating Reasoning Trajectories 07:10 - How You Get There 07:23 - Intern Bootcamp 07:40 - Tool Use 08:00 - And The Reward Is For? 08:10 - Practical Applications 08:20 - Good Question 08:28 - First Taxonomies 08:42 - Example Prompts 08:54 - Persona Hub 09:03 - Give Me An Example 09:17 - Forces The Model 09:27 - Biggest Unexpected Hurdle 09:44 - So With This 09:54 - Strong Base Models 10:03 - Solid Foundations 10:14 - Token Level Masking 10:23 - Classic Problem 10:34 - And Results 10:47 - Leaking Between Data 10:53 - Where Loss Masking Comes In 11:03 - In The Hardware 11:17 - Computational Effort 11:26 - Managing Behavior 11:30 - Its A Big Headache 11:48 - Clever Solution 12:07 - Crucial Part 12:23 - Avoids The Big Risk 12:33 - Talks Itself Into A Corner 12:45 - Neat Trick 12:51 - What Was The Impact 13:17 - Managing Behavior At Scale 13:25 - How Did It All Work 13:31 - Transparency And Reproducibility 13:39 - Open Logs 13:47 - Reducing Variability 13:53 - Arrange 14:09 - Atropos Again 14:18 - Offers Some Nice Benefits 14:30 - Catch Subtle Issues 14:41 - High-Performance 14:53 - Any Other Benefits 15:13 - Specific Evaluations 15:27 - Sandbox 15:39 - Why Measure Refusals 15:56 - The Model Should Refuse 16:02 - Did It Live Up To The Hype? 16:21 - On The Safety Side 16:38 - The Numbers Stack Up 16:46 - Hermes IV Actually Behave 17:01 - Baseline Behavior 17:18 - But Hermes IV 17:31 - Better Contextual Fidelity 17:45 - It Seems So 17:59 - Political Analysis Tasks 18:06 - That's The Stylistic Transfer 18:18 - Suggests A Deeper Understanding 18:24 - Ties Into Latent Capabilities 18:39 - Deeper Shift 18:53 - Actively Tried To Steer 19:06 - To Heart 19:16 - Tiny Change 19:26 - Behavior 19:45 - The Report 19:55 - Absolutely 20:19 - And For You The Listener 20:35 - Interesting Question 20:45 - Impressive 21:06 - How Do You Balance? 21:11 - That's All The Time