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OptiMind SFT by microsoft

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OptiMind SFT is an open-source language model by microsoft. Features: 20b LLM, VRAM: 42GB, Context: 128K, License: mit, LLM Explorer Score: 0.3.

  Arxiv:2509.22979 Base model:finetune:unsloth/gp... Base model:unsloth/gpt-oss-20b...   Conversational   Deploy:azure   En   Endpoints compatible   Gpt oss   Gurobi   Milp   Operations-research   Optimization   Region:us   Safetensors   Sft   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/microsoft/OptiMind-SFT 

OptiMind SFT Benchmarks

LLME Score: 0.29713
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OptiMind SFT (microsoft/OptiMind-SFT)
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OptiMind SFT Parameters and Internals

LLM NameOptiMind SFT
Repository 🤗https://huggingface.co/microsoft/OptiMind-SFT 
Base Model(s)  GPT Oss 20B BF16   unsloth/gpt-oss-20b-BF16
Model Size20b
Required VRAM42 GB
Updated2026-06-27
Maintainermicrosoft
Model Typegpt_oss
Model Files  4.5 GB: 1-of-10   4.8 GB: 2-of-10   4.9 GB: 3-of-10   4.8 GB: 4-of-10   5.0 GB: 5-of-10   4.3 GB: 6-of-10   4.5 GB: 7-of-10   4.0 GB: 8-of-10   4.0 GB: 9-of-10   1.2 GB: 10-of-10
Supported Languagesen
Model ArchitectureGptOssForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.55.4
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size201088
Torch Data Typebfloat16

Best Alternatives to OptiMind SFT

Best Alternatives
Context / RAM
Downloads
Likes
GPT Oss 20B128K / 13.8 GB80825954637
OTel LLM 20B Reasoning128K / 83.8 GB33860
GPT Oss 20B128K / 13.8 GB1641647
Context 1128K / 41.8 GB1534414
GPT Oss Safeguard 20B128K / 13.8 GB149281237
GPT Oss 20B Heretic Ara V4128K / 13.8 GB533913
GPT Oss 20B BF16128K / 41.6 GB6582834
GPT Oss 20B Abliterated128K / 41.6 GB8263
Aryabhata 2.0128K / 41.8 GB1595
GPT Oss 20B Heretic128K / 41.6 GB1425122
Note: green Score (e.g. "73.2") means that the model is better than microsoft/OptiMind-SFT.

Rank the OptiMind SFT 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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