MiroThinker 1.7 Mini by miromind-ai

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MiroThinker 1.7 Mini is an open-source language model by miromind-ai. Features: 235b LLM, VRAM: 61.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.36.

  Arxiv:2511.11793   Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-235b-a22...   Conversational   Deep-research   En   Endpoints compatible   Miromind   Open-source   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow

MiroThinker 1.7 Mini Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MiroThinker 1.7 Mini Parameters and Internals

LLM NameMiroThinker 1.7 Mini
Repository 🤗https://huggingface.co/miromind-ai/MiroThinker-1.7-mini 
Base Model(s)  Qwen3 235B A22B Thinking 2507   Qwen/Qwen3-235B-A22B-Thinking-2507
Model Size235b
Required VRAM61.1 GB
Updated2026-03-29
Maintainermiromind-ai
Model Typeqwen3_moe
Model Files  5.0 GB: 1-of-13   5.0 GB: 2-of-13   5.0 GB: 3-of-13   5.0 GB: 4-of-13   5.0 GB: 5-of-13   5.0 GB: 6-of-13   5.0 GB: 7-of-13   5.0 GB: 8-of-13   5.0 GB: 9-of-13   5.0 GB: 10-of-13   5.0 GB: 11-of-13   5.0 GB: 12-of-13   1.1 GB: 13-of-13
Supported Languagesen
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the MiroThinker 1.7 Mini

Model
Likes
Downloads
VRAM
MiroThinker 1.7 Mini Mlx 4Bit223017 GB

Best Alternatives to MiroThinker 1.7 Mini

Best Alternatives
Context / RAM
Downloads
Likes
...en3 235B A22B Instruct 2507 1M986K / 171.9 GB121
Qwen3 235B A22B Instruct 2507256K / 171.9 GB183785772
MiroThinker 1.7256K / 220 GB1140134
Qwen3 235B A22B Instruct 2507256K / 167.9 GB1889
Qwen3 235B A22B Thinking 2507256K / 167.9 GB772
Qwen3 235B A22B Thinking 2507256K / 171.9 GB79700404
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB239764147
... Nemotron 235B A22B GenRM 2603256K / 195 GB160724
... 235B A22B Instruct 2507 NVFP4256K / 139.2 GB38826
...n3 235B A22B Thinking 2507 FP8256K / 236.5 GB1549883
Note: green Score (e.g. "73.2") means that the model is better than miromind-ai/MiroThinker-1.7-mini.

Rank the MiroThinker 1.7 Mini Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20260328a