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Qwen model made more concise with "Sharp" prompt overlay for NInfer

A user has developed a method to make the Qwen model more concise by applying a "Sharp" system prompt overlay to the NInfer inference engine. This modification reduces output tokens by 42% without impacting speed or correctness. The overlay was implemented in C++ to bypass NInfer's template verification, allowing the "Sharp" instructions to be appended to the system prompt, thereby controlling the model's verbosity and reasoning effort. AI

IMPACT This technique could lead to more efficient LLM usage by reducing token counts without sacrificing performance.

RANK_REASON User-developed overlay for an inference engine and model.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen model made more concise with "Sharp" prompt overlay for NInfer

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/xrailgun ·

    Sharp template to NInfer: -42% output tokens, same speed

    <!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/peculiar-ragdoll/Qwen-Sharp-Chat-Templates">Sharp</a> is <a href="/u/peculiar-ragdoll">u/peculiar-ragdoll</a>'s system prompt that makes Qwen answer way more tersely without losing correctness. It's built on top of…