What are the hardware requirements for MiMo V2 Flash 4bit?

MiMo V2 Flash 4bit requires approximately 173.6 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiMo V2 Flash 4bit and how large is it?

MiMo V2 Flash 4bit is developed by mlx-community, a model with 308.8b 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 MiMo V2 Flash 4bit?

MiMo V2 Flash 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiMo V2 Flash 4bit by mlx-community — VRAM 173.6GB, 256K context

Name: MiMo V2 Flash 4bit
Author: mlx-community

MiMo V2 Flash 4bit is an open-source language model by mlx-community. Features: 308.8b LLM, VRAM: 173.6GB, Context: 256K, License: mit, Quantized, LLM Explorer Score: 0.22.

4-bit 4bit Base model:quantized:xiaomimim... Base model:xiaomimimo/mimo-v2-... Conversational Custom code Mimo v2 flash Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/MiMo-V2-Flash-4bit

MiMo V2 Flash 4bit Parameters and Internals

LLM Name	MiMo V2 Flash 4bit
Repository 🤗	https://huggingface.co/mlx-community/MiMo-V2-Flash-4bit
Base Model(s)	MiMo V2 Flash XiaomiMiMo/MiMo-V2-Flash
Model Size	308.8b
Required VRAM	173.6 GB
Updated	2026-07-21
Maintainer	mlx-community
Model Type	mimo_v2_flash
Model Files	5.3 GB: 1-of-36 5.0 GB: 2-of-36 4.9 GB: 3-of-36 4.9 GB: 4-of-36 4.9 GB: 5-of-36 4.9 GB: 6-of-36 4.9 GB: 7-of-36 4.9 GB: 8-of-36 4.9 GB: 9-of-36 4.9 GB: 10-of-36 4.9 GB: 11-of-36 4.9 GB: 12-of-36 4.9 GB: 13-of-36 4.9 GB: 14-of-36 4.9 GB: 15-of-36 4.9 GB: 16-of-36 4.9 GB: 17-of-36 4.9 GB: 18-of-36 4.9 GB: 19-of-36 4.9 GB: 20-of-36 4.9 GB: 21-of-36 4.9 GB: 22-of-36 4.9 GB: 23-of-36 4.9 GB: 24-of-36 4.9 GB: 25-of-36 4.9 GB: 26-of-36 4.9 GB: 27-of-36 4.9 GB: 28-of-36 4.9 GB: 29-of-36 4.9 GB: 30-of-36 4.9 GB: 31-of-36 4.9 GB: 32-of-36 4.9 GB: 33-of-36 4.9 GB: 34-of-36 4.9 GB: 35-of-36 1.6 GB: 36-of-36
Quantization Type	4bit
Model Architecture	MiMoV2FlashForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.40.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152576
Torch Data Type	bfloat16
Errors	replace

Rank the MiMo V2 Flash 4bit 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 MiMo V2 Flash 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...iMo V2.6 Flash RL MLX 4bit MTP	1024K / 164.2 GB	1688	9

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/MiMo-V2-Flash-4bit.