What are the hardware requirements for OptiMind SFT?

OptiMind SFT requires approximately 42 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OptiMind SFT and how large is it?

OptiMind SFT is developed by microsoft, a model with 20b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate OptiMind SFT?

OptiMind SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OptiMind SFT by microsoft — VRAM 42GB, 128K context

Name: OptiMind SFT
Author: microsoft

OptiMind SFT is an open-source language model by microsoft. Features: 20b LLM, VRAM: 42GB, Context: 128K, License: mit, LLM Explorer Score: 0.28.

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 Parameters and Internals

LLM Name	OptiMind SFT
Repository 🤗	https://huggingface.co/microsoft/OptiMind-SFT
Base Model(s)	GPT Oss 20B BF16 unsloth/gpt-oss-20b-BF16
Model Size	20b
Required VRAM	42 GB
Updated	2026-07-07
Maintainer	microsoft
Model Type	gpt_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 Languages	en
Model Architecture	GptOssForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	201088
Torch Data Type	bfloat16

Rank the OptiMind SFT capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to OptiMind SFT

Best Alternatives	Context / RAM	Downloads	Likes
GPT Oss 20B	128K / 13.8 GB	7983620	4849
OTel LLM 20B Reasoning	128K / 83.8 GB	1040	1
GPT Oss 20B	128K / 13.8 GB	16416	47
GPT Oss Safeguard 20B	128K / 13.8 GB	154333	239
Strawberry	128K / 41.6 GB	221	5
Strawberry 1	128K / 41.6 GB	406	2
Context 1	128K / 41.8 GB	726	414
GPT Oss 20B Heretic Ara V4	128K / 13.8 GB	5339	13
GPT Oss 20B BF16	128K / 41.6 GB	96874	34
GPT Oss 20B Heretic	128K / 41.6 GB	2413	124

Note: green Score (e.g. "73.2") means that the model is better than microsoft/OptiMind-SFT.