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DMind 1 by DMindAI

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DMind 1 is an open-source language model by DMindAI. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, License: mit, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-32b   Blockchain   Conversational   En   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Web3   Zh
Model Card on HF 🤗: https://huggingface.co/DMindAI/DMind-1 

DMind 1 Benchmarks

LLME Score: 0.19493
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DMind 1 (DMindAI/DMind-1)
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DMind 1 Parameters and Internals

LLM NameDMind 1
Repository 🤗https://huggingface.co/DMindAI/DMind-1 
Base Model(s)  Qwen3 32B   Qwen/Qwen3-32B
Model Size32b
Required VRAM65.8 GB
Updated2026-04-13
MaintainerDMindAI
Model Typeqwen3
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen zh
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to DMind 1

Best Alternatives
Context / RAM
Downloads
Likes
...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB43
...ll Qwen3 32B Preview6 QAT 200K195K / 65.8 GB62
...ll Qwen3 32B Preview4 QAT 200K195K / 65.8 GB72
Qwen3 32B40K / 65.8 GB4591314
Qwen3 32B40K / 65.6 GB4892134692
Assistant Pepe 32B40K / 65.5 GB11230
FrogBoss 32B 251040K / 65.8 GB8199429
Nemotron Terminal 32B40K / 65.6 GB363237
Qwen3 32B NVFP440K / 20.7 GB14475214
Qwen3 32B FP840K / 34.5 GB23263583
Note: green Score (e.g. "73.2") means that the model is better than DMindAI/DMind-1.

Rank the DMind 1 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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