Miromind M1 SFT 7B by miromind-ai

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Miromind M1 SFT 7B is an open-source language model by miromind-ai. Features: 32b LLM, VRAM: 30.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

  Arxiv:2507.14683 Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a...   En   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Miromind M1 SFT 7B Benchmarks

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

Miromind M1 SFT 7B Parameters and Internals

LLM NameMiromind M1 SFT 7B
Repository 🤗https://huggingface.co/miromind-ai/Miromind-M1-SFT-7B 
Base Model(s)  DeepSeek R1 Distill Qwen 32B   deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size32b
Required VRAM30.5 GB
Updated2025-10-25
Maintainermiromind-ai
Model Typeqwen2
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB53
Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB73
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Ultiima 32B128K / 65.8 GB187
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB154
Note: green Score (e.g. "73.2") means that the model is better than miromind-ai/Miromind-M1-SFT-7B.

Rank the Miromind M1 SFT 7B 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 v20260328a