What are the hardware requirements for DeepSeek V4 Flash 2bit DQ?

DeepSeek V4 Flash 2bit DQ requires approximately 96.3 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V4 Flash 2bit DQ and how large is it?

DeepSeek V4 Flash 2bit DQ is developed by mlx-community, a model with 284.3b 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 DeepSeek V4 Flash 2bit DQ?

DeepSeek V4 Flash 2bit DQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V4 Flash 2bit DQ by mlx-community — VRAM 96.3GB, 1024K context

Name: DeepSeek V4 Flash 2bit DQ
Author: mlx-community

DeepSeek V4 Flash 2bit DQ is an open-source language model by mlx-community. Features: 284.3b LLM, VRAM: 96.3GB, Context: 1024K, Quantized, LLM Explorer Score: 0.32.

2bit 4-bit Conversational Deepseek v4 En Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/DeepSeek-V4-Flash-2bit-DQ

DeepSeek V4 Flash 2bit DQ Parameters and Internals

LLM Name	DeepSeek V4 Flash 2bit DQ
Repository 🤗	https://huggingface.co/mlx-community/DeepSeek-V4-Flash-2bit-DQ
Model Size	284.3b
Required VRAM	96.3 GB
Updated	2026-07-19
Maintainer	mlx-community
Model Type	deepseek_v4
Model Files	4.8 GB: 1-of-19 5.3 GB: 2-of-19 5.1 GB: 3-of-19 5.2 GB: 4-of-19 5.3 GB: 5-of-19 5.1 GB: 6-of-19 5.2 GB: 7-of-19 5.3 GB: 8-of-19 5.1 GB: 9-of-19 5.2 GB: 10-of-19 5.3 GB: 11-of-19 5.1 GB: 12-of-19 5.2 GB: 13-of-19 5.3 GB: 14-of-19 5.1 GB: 15-of-19 5.2 GB: 16-of-19 5.3 GB: 17-of-19 5.1 GB: 18-of-19 3.1 GB: 19-of-19
Supported Languages	en
Quantization Type	2bit
Model Architecture	DeepseekV4ForCausalLM
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Tokenizer Class	TokenizersBackend
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V4 Flash 2bit DQ 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 DeepSeek V4 Flash 2bit DQ

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4 Flash 4bit	1024K / 152.2 GB	12635	25
DeepSeek V4 Flash 2bit M DQ	1024K / 106.4 GB	785	2
DeepSeek V4 Flash 3bit DQ	1024K / 128.9 GB	696	2
...seek Ai DeepSeek V4 Flash 8bit	1024K / 215.2 GB	3577	12
...seek Ai DeepSeek V4 Flash 4bit	1024K / 159.7 GB	1223	5
DeepSeek V4 Flash 6bit	1024K / 153.5 GB	781	2
DeepSeek V4 Flash BF16	1024K / 568.7 GB	360	8
DeepSeek V4 Flash Mxfp8	1024K / 154.8 GB	808	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/DeepSeek-V4-Flash-2bit-DQ.