Schema-guided JSON extraction
According to the model card, the model maps unstructured text such as manuals and QA documents into hierarchical JSON that follows a given JSON Schema.
Open Source Model Profile · MasterControlAIML
DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured
DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured is a 1.54B-parameter Qwen2 LoRA from MasterControlAIML. According to the model card, it converts unstructured text into schema-guided structured JSON.
- Publisher
- MasterControlAIML
- Task
- text-generation
- Model type
- qwen2
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured is published by MasterControlAIML as a qwen2-based text-generation LoRA. The captured configuration identifies Qwen2ForCausalLM and Safetensors metadata reports 1543714304 parameters. According to the model card, it fine-tunes MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured with LoRA for schema-guided unstructured-to-JSON conversion.
Recorded capabilities
Documented LoRA lineage
According to the model card and hub tags, it is fine-tuned from MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured using LoRA techniques.
Unsloth and TRL workflow
According to the model card, training reached 2x faster performance using Unsloth with the TRL library, and Unsloth is documented for fast inference.
Alpaca and LangChain examples
According to the model card, usage covers the Alpaca prompt template and LangChain prompt templates, with transformers, torch, unsloth, and langchain listed as required libraries.
Qwen2 1.54B Transformers record
Captured config identifies Qwen2ForCausalLM and qwen2, with Safetensors metadata reporting 1543714304 parameters and transformers library support.
Use cases in the source record
- Converting manuals, QA documents, and similar unstructured text into hierarchical JSON constrained by a supplied JSON Schema.
- Unsloth or Transformers inference experiments using the documented Alpaca and LangChain prompt workflows for schema-guided extraction.
Limitations and unknowns
- No evaluation results were extracted from this record.
- No context-window value was extracted from this record; the card example shows max_seq_length 2048 in sample code, which is an example setting rather than a confirmed model limit.
- Provider state is historical snapshot data, not independently refreshed current availability.
- Training-speed characterizations such as 2x faster training are publisher claims and were not independently verified by Ethen.
Source and provenance
Source: MasterControlAIML/DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured
Captured: Unknown. Processed: 2026-09-07T19:35:13.365880+00:00.
MasterControlAIML R1-Qwen2.5-1.5b SFT R1 JSON Unstructured-To-Structured Model This repository provides a fine-tuned Qwen2 model optimized for transforming unstructured text into structured JSON outputs according to a predefined schema. The model is finetuned from the base model MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured and leverages LoRA techniques for efficient adaptation. Key Highlights: Developed by: bhaviktheslider License: Apache-2.0 Finetuned from: MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured Accelerated Training: Achieved 2x faster training using Unslot…
F001F002F003F004F005F006F007F008F009F010F011F012F014F015F016F017F024F027