Qwen3 4B Thinking 2507 DAG Reasoning is an open-source language model by sequelbox. Features: 4b LLM, VRAM: 16.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.21.
4b Analysis Analytical Architecture Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-think... Business Business-management Chat Codegen Conversational Creative Cybersecurity Dag-reasoning Dataset:sequelbox/dag-reasonin... Directed-acyclic-graph Economics En Endpoints compatible Energy Expert Finance Graph Instruct Knowledge Law Logic Logistics Politics Problem-solving Qwen Qwen-3 Qwen-3-4b Qwen3 Qwen3-4b-thinking-2507 Rationality Reasoning Region:us Root-cause-analysis Safetensors Sharded Software-engineering Supply-chain Tensorflow Thinking Valiant Valiant-labs
Model Card on HF 🤗: https://huggingface.co/sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning
Qwen3 4B Thinking 2507 DAG Reasoning Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Qwen3 4B Thinking 2507 DAG Reasoning Parameters and Internals
| LLM Name | Qwen3 4B Thinking 2507 DAG Reasoning |
| Repository 🤗 | https://huggingface.co/sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 16.1 GB |
| Updated | 2026-04-08 |
| Maintainer | sequelbox |
| Model Type | qwen3 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 4.55.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen3 4B Thinking 2507 DAG Reasoning
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 1473674 | 320 |
| Jan Code 4B | 256K / 8.9 GB | 2270 | 72 |
| Qwen3 4B Instruct 2507 FP8 | 256K / 5.2 GB | 715358 | 73 |
| Jan V3 4B Base Instruct | 256K / 8.9 GB | 1827 | 60 |
| Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 266 | 0 |
| Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 38571 | 25 |
| JOSIE 1.1 4B Instruct | 256K / 8 GB | 252 | 2 |
| ...search GooseReason 4B Instruct | 256K / 17.6 GB | 476 | 7 |
| JOSIE 4B Instruct | 256K / 8 GB | 144 | 8 |
| Qwen3 4B Instruct 2507 FP8 | 256K / 4.4 GB | 1342 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning .
Rank the Qwen3 4B Thinking 2507 DAG Reasoning Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a