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Qwen3 4B Thinking 2507 DAG Reasoning by sequelbox

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Model Card on HF 🤗: https://huggingface.co/sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning 

Qwen3 4B Thinking 2507 DAG Reasoning Benchmarks

LLME Score: 0.24176
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Thinking 2507 DAG Reasoning (sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning)
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Qwen3 4B Thinking 2507 DAG Reasoning Parameters and Internals

LLM NameQwen3 4B Thinking 2507 DAG Reasoning
Repository 🤗https://huggingface.co/sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning 
Base Model(s)  Qwen3 4B Thinking 2507   Qwen/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM16.1 GB
Updated2025-12-04
Maintainersequelbox
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.55.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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