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DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured by MasterControlAIML

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Model Card on HF 🤗: https://huggingface.co/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 Benchmarks

LLME Score: 0.24996
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured (MasterControlAIML/DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured)
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DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured Parameters and Internals

LLM NameDeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured
Repository 🤗https://huggingface.co/MasterControlAIML/DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured 
Base Model(s)  MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured   MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured
Model Size1.5b
Required VRAM3.1 GB
Updated2025-07-17
MaintainerMasterControlAIML
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than MasterControlAIML/DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured.

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