What are the hardware requirements for Deepseek Ai DeepSeek V4 Flash 8bit?

Deepseek Ai DeepSeek V4 Flash 8bit requires approximately 215.2 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 Ai DeepSeek V4 Flash 8bit and how large is it?

Deepseek Ai DeepSeek V4 Flash 8bit 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 Ai DeepSeek V4 Flash 8bit?

Deepseek Ai DeepSeek V4 Flash 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Ai DeepSeek V4 Flash 8bit by mlx-community — VRAM 215.2GB, 1024K context

Name: Deepseek Ai DeepSeek V4 Flash 8bit
Author: mlx-community

Deepseek Ai DeepSeek V4 Flash 8bit is an open-source language model by mlx-community. Features: 284.3b LLM, VRAM: 215.2GB, Context: 1024K, License: mit, Quantized, LLM Explorer Score: 0.29.

8-bit 8bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Deepseek v4 Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/deepseek-ai-DeepSeek-V4-Flash-8bit

Deepseek Ai DeepSeek V4 Flash 8bit Parameters and Internals

LLM Name	Deepseek Ai DeepSeek V4 Flash 8bit
Repository 🤗	https://huggingface.co/mlx-community/deepseek-ai-DeepSeek-V4-Flash-8bit
Base Model(s)	DeepSeek V4 Flash deepseek-ai/DeepSeek-V4-Flash
Model Size	284.3b
Required VRAM	215.2 GB
Updated	2026-07-15
Maintainer	mlx-community
Model Type	deepseek_v4
Model Files	5.2 GB: 1-of-65 4.7 GB: 2-of-65 4.7 GB: 3-of-65 4.6 GB: 4-of-65 4.7 GB: 5-of-65 4.7 GB: 6-of-65 4.6 GB: 7-of-65 4.7 GB: 8-of-65 4.7 GB: 9-of-65 4.6 GB: 10-of-65 4.7 GB: 11-of-65 4.7 GB: 12-of-65 4.6 GB: 13-of-65 4.7 GB: 14-of-65 4.7 GB: 15-of-65 4.6 GB: 16-of-65 4.7 GB: 17-of-65 4.7 GB: 18-of-65 4.6 GB: 19-of-65 4.7 GB: 20-of-65 4.7 GB: 21-of-65 4.6 GB: 22-of-65 4.7 GB: 23-of-65 4.7 GB: 24-of-65 4.6 GB: 25-of-65 4.7 GB: 26-of-65 4.7 GB: 27-of-65 4.6 GB: 28-of-65 4.7 GB: 29-of-65 4.7 GB: 30-of-65 4.6 GB: 31-of-65 4.7 GB: 32-of-65 4.7 GB: 33-of-65 4.6 GB: 34-of-65 4.7 GB: 35-of-65 4.7 GB: 36-of-65 4.6 GB: 37-of-65 4.7 GB: 38-of-65 4.7 GB: 39-of-65 4.6 GB: 40-of-65 4.7 GB: 41-of-65 4.7 GB: 42-of-65 4.6 GB: 43-of-65 4.7 GB: 44-of-65 4.7 GB: 45-of-65 4.6 GB: 46-of-65
Quantization Type	8bit
Model Architecture	DeepseekV4ForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the Deepseek Ai DeepSeek V4 Flash 8bit 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 Ai DeepSeek V4 Flash 8bit

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
DeepSeek V4 Flash 2bit DQ	1024K / 96.3 GB	14425	47
...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-ai-DeepSeek-V4-Flash-8bit.