Hermes 4 14B: A Frontier Reasoning Model

Hermes 4 14B, developed by Nous Research, is a 14 billion parameter, hybrid-mode reasoning model built upon the Qwen 3 architecture. It is specifically designed for enhanced reasoning capabilities and user alignment. This iteration features a substantially expanded post-training corpus, growing from 1 million samples and 1.2 billion tokens to approximately 5 million samples and 60 billion tokens, blending both reasoning and non-reasoning data.

Key Capabilities

• Advanced Reasoning: Significant improvements in math, code, STEM, logic, and creative writing, with a unique hybrid reasoning mode utilizing explicit <think>...</think> segments for deliberation.
• Schema Adherence & Structured Outputs: Trained to produce valid JSON for given schemas and to repair malformed objects, crucial for reliable function calling and tool use.
• Enhanced Steerability: Demonstrates extreme improvements in steerability, particularly in reducing refusal rates, allowing for greater alignment with user values without censorship, as evidenced by its top performance on the RefusalBench benchmark.
• Function Calling & Tool Use: Supports function/tool calls within a single assistant turn, generated after its internal reasoning process, with easy parsing via <tool_call>...</tool_call> tags.

Good for

• Applications requiring robust reasoning and problem-solving across diverse domains like STEM and coding.
• Scenarios demanding structured outputs and reliable schema adherence, such as API interactions and data processing.
• Use cases where user alignment and steerability are paramount, offering a highly customizable and less restrictive AI experience.
• Developers integrating function calling and tool use into their LLM applications, benefiting from the model's explicit tool call generation.