What are the hardware requirements for Miromind M1 SFT 7B?

Miromind M1 SFT 7B requires approximately 30.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Miromind M1 SFT 7B and how large is it?

Miromind M1 SFT 7B is developed by miromind-ai, a model with 32b 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 Miromind M1 SFT 7B?

Miromind M1 SFT 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Miromind M1 SFT 7B by miromind-ai — VRAM 30.5GB, 32K context

Name: Miromind M1 SFT 7B
Author: miromind-ai

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

Model Card on HF 🤗: https://huggingface.co/miromind-ai/Miromind-M1-SFT-7B

Miromind M1 SFT 7B Parameters and Internals

LLM Name	Miromind 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 Size	32b
Required VRAM	30.5 GB
Updated	2025-10-25
Maintainer	miromind-ai
Model Type	qwen2
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 Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float32
Errors	replace

Rank the Miromind M1 SFT 7B 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 Miromind M1 SFT 7B

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	15	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	11	4

Note: green Score (e.g. "73.2") means that the model is better than miromind-ai/Miromind-M1-SFT-7B.