What are the hardware requirements for DeepSeek V4 Pro 8bit?

DeepSeek V4 Pro 8bit requires approximately 204.9 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 Pro 8bit and how large is it?

DeepSeek V4 Pro 8bit is developed by mlx-community, a model with 1573b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does DeepSeek V4 Pro 8bit perform on standard benchmarks?

DeepSeek V4 Pro 8bit has the following published scores: LMSYS ELO 1455. Compare against reference models on this page or on the LLM Explorer leaderboards.

DeepSeek V4 Pro 8bit by mlx-community — VRAM 204.9GB, 1024K context

Name: DeepSeek V4 Pro 8bit
Author: mlx-community

DeepSeek V4 Pro 8bit is an open-source language model by mlx-community. Features: 1573b LLM, VRAM: 204.9GB, Context: 1024K, Quantized, LLM Explorer Score: 0.41, ELO: 1455.

8-bit 8bit Conversational Deepseek v4 En Mlx Quantized Region:us Safetensors Sharded Tensorflow

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

DeepSeek V4 Pro 8bit Benchmarks

LMSys ELO 1455 vs 1272 (so35) 14.4%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

DeepSeek V4 Pro 8bit Parameters and Internals

LLM Name	DeepSeek V4 Pro 8bit
Repository 🤗	https://huggingface.co/mlx-community/DeepSeek-V4-Pro-8bit
Model Size	1573b
Required VRAM	204.9 GB
Updated	2026-08-01
Maintainer	mlx-community
Model Type	deepseek_v4
Model Files	1.3 GB: 1-of-185 4.5 GB: 2-of-185 4.5 GB: 3-of-185 4.9 GB: 4-of-185 4.5 GB: 5-of-185 4.5 GB: 6-of-185 4.9 GB: 7-of-185 4.5 GB: 8-of-185 4.5 GB: 9-of-185 4.9 GB: 10-of-185 4.5 GB: 11-of-185 4.5 GB: 12-of-185 4.9 GB: 13-of-185 4.5 GB: 14-of-185 4.5 GB: 15-of-185 4.9 GB: 16-of-185 4.5 GB: 17-of-185 4.5 GB: 18-of-185 4.9 GB: 19-of-185 4.5 GB: 20-of-185 4.5 GB: 21-of-185 4.9 GB: 22-of-185 4.5 GB: 23-of-185 4.5 GB: 24-of-185 4.9 GB: 25-of-185 4.5 GB: 26-of-185 4.5 GB: 27-of-185 4.9 GB: 28-of-185 4.5 GB: 29-of-185 4.5 GB: 30-of-185 4.9 GB: 31-of-185 4.5 GB: 32-of-185 4.5 GB: 33-of-185 4.9 GB: 34-of-185 4.5 GB: 35-of-185 4.5 GB: 36-of-185 4.9 GB: 37-of-185 4.5 GB: 38-of-185 4.5 GB: 39-of-185 4.9 GB: 40-of-185 4.5 GB: 41-of-185 4.5 GB: 42-of-185 4.9 GB: 43-of-185 4.5 GB: 44-of-185 4.5 GB: 45-of-185
Supported Languages	en
Quantization Type	8bit
Model Architecture	DeepseekV4ForCausalLM
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V4 Pro 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 V4 Pro 8bit

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4 Pro 4bit	1024K / 206.2 GB	1591	2
DeepSeek V4 Pro	1024K / 209.8 GB	4940	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/DeepSeek-V4-Pro-8bit.