What are the hardware requirements for DeepSeek V4.1 Flash 1017 MLXse?

DeepSeek V4.1 Flash 1017 MLXse requires approximately 11 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V4.1 Flash 1017 MLXse and how large is it?

DeepSeek V4.1 Flash 1017 MLXse is developed by inferencerlabs. 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 DeepSeek V4.1 Flash 1017 MLXse?

DeepSeek V4.1 Flash 1017 MLXse is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V4.1 Flash 1017 MLXse by inferencerlabs — VRAM 11GB

Name: DeepSeek V4.1 Flash 1017 MLXse
Author: inferencerlabs

DeepSeek V4.1 Flash 1017 MLXse is an open-source language model by inferencerlabs. Features: LLM, VRAM: 11GB, LLM Explorer Score: 0.35.

8-bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Conversational Deepseek v41 En Image-text-to-text Mlx Quantized Region:us Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/inferencerlabs/DeepSeek-V4.1-Flash-1017-MLXse

DeepSeek V4.1 Flash 1017 MLXse Parameters and Internals

LLM Name	DeepSeek V4.1 Flash 1017 MLXse
Repository 🤗	https://huggingface.co/inferencerlabs/DeepSeek-V4.1-Flash-1017-MLXse
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash-1017 deepseek-ai/DeepSeek-V4.1-Flash-1017
Required VRAM	11 GB
Updated	2026-10-31
Maintainer	inferencerlabs
Model Type	deepseek_v41
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.0 GB: 3-of-3
Supported Languages	en
Model Architecture	DeepseekV41ForCausalLM
Model Max Length	1048576
Transformers Version	5.6.0
Tokenizer Class	PreTrainedTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>

Rank the DeepSeek V4.1 Flash 1017 MLXse 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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