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MiroThinker 14B SFT V0.1 by miromind-ai

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  Agent   Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-14b   Conversational   En   Endpoints compatible   Miromind   Open-source   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/miromind-ai/MiroThinker-14B-SFT-v0.1 

MiroThinker 14B SFT V0.1 Benchmarks

LLME Score: 0.26785
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiroThinker 14B SFT V0.1 (miromind-ai/MiroThinker-14B-SFT-v0.1)
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MiroThinker 14B SFT V0.1 Parameters and Internals

LLM NameMiroThinker 14B SFT V0.1
Repository 🤗https://huggingface.co/miromind-ai/MiroThinker-14B-SFT-v0.1 
Base Model(s)  Qwen3 14B   Qwen/Qwen3-14B
Model Size14b
Required VRAM29.7 GB
Updated2025-08-09
Maintainermiromind-ai
Model Typeqwen3
Model Files  3.8 GB: 1-of-8   4.0 GB: 2-of-8   4.0 GB: 3-of-8   4.0 GB: 4-of-8   4.0 GB: 5-of-8   4.0 GB: 6-of-8   4.0 GB: 7-of-8   1.9 GB: 8-of-8
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...Omega Directive Qwen3 14B V1.140K / 29.5 GB88422
Merged16 Kto Qwen3 14B 240K / 29.5 GB460
Note: green Score (e.g. "73.2") means that the model is better than miromind-ai/MiroThinker-14B-SFT-v0.1.

Rank the MiroThinker 14B SFT V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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