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Users seek best local LLMs for structured text-to-JSON conversion

A user on Reddit's r/LocalLLaMA subreddit is seeking recommendations for local large language models capable of converting unstructured text into structured JSON output. They have found that while larger models like GPT-OSS 120B perform well, they are too resource-intensive for their local machine. Smaller models such as GPT-OSS 20B and Qwen 3.6 35b a3b show inconsistent performance, sometimes breaking down or failing to produce the desired JSON output despite using a specific prompt format. AI

IMPACT Identifies a need for efficient, locally runnable LLMs capable of structured data extraction, highlighting current performance limitations.

RANK_REASON User query seeking recommendations for open-source models for a specific task.

Read on r/LocalLLaMA →

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

Users seek best local LLMs for structured text-to-JSON conversion

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0 / 100
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Newsworthiness bucket
Commentary
User query seeking recommendations for open-source models for a specific task.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
124 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

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

    What is the best local model for converting text into structured output based on structure

    <!-- SC_OFF --><div class="md"><p>Let's say a I have one really string with so much information. And based on different task I will be having different json format, and I want to convert that string into structured output.</p> <p>What is the best model for this. gpt oss 120b work…