What are the hardware requirements for DeepSeek V3.0324 4bit?

DeepSeek V3.0324 4bit requires approximately 198.7 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V3.0324 4bit and how large is it?

DeepSeek V3.0324 4bit is developed by mlx-community, a model with 104.9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does DeepSeek V3.0324 4bit perform on standard benchmarks?

DeepSeek V3.0324 4bit has the following published scores: LMSYS ELO 1396. Compare against reference models on this page or on the LLM Explorer leaderboards.

DeepSeek V3.0324 4bit by mlx-community — VRAM 198.7GB, 160K context

Name: DeepSeek V3.0324 4bit
Author: mlx-community

DeepSeek V3.0324 4bit is an open-source language model by mlx-community. Features: 104.9b LLM, VRAM: 198.7GB, Context: 160K, License: mit, Quantized, LLM Explorer Score: 0.33, ELO: 1396.

4-bit 4bit Conversational Custom code Deepseek v3 Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/DeepSeek-V3-0324-4bit

DeepSeek V3.0324 4bit Benchmarks

LMSys ELO 1396 vs 1272 (so35) 9.7%

^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 V3.0324 4bit Parameters and Internals

LLM Name	DeepSeek V3.0324 4bit
Repository 🤗	https://huggingface.co/mlx-community/DeepSeek-V3-0324-4bit
Base Model(s)	deepseek-ai/DeepSeek-v3-0324 deepseek-ai/DeepSeek-v3-0324
Model Size	104.9b
Required VRAM	198.7 GB
Updated	2026-07-09
Maintainer	mlx-community
Model Type	deepseek_v3
Model Files	3.7 GB: 1-of-88 4.4 GB: 2-of-88 4.2 GB: 3-of-88 4.4 GB: 4-of-88 4.4 GB: 5-of-88 4.2 GB: 6-of-88 4.4 GB: 7-of-88 4.4 GB: 8-of-88 4.2 GB: 9-of-88 4.4 GB: 10-of-88 4.4 GB: 11-of-88 4.2 GB: 12-of-88 4.4 GB: 13-of-88 4.4 GB: 14-of-88 4.2 GB: 15-of-88 4.4 GB: 16-of-88 4.4 GB: 17-of-88 4.2 GB: 18-of-88 4.4 GB: 19-of-88 4.4 GB: 20-of-88 4.2 GB: 21-of-88 4.4 GB: 22-of-88 4.4 GB: 23-of-88 4.2 GB: 24-of-88 4.4 GB: 25-of-88 4.4 GB: 26-of-88 4.2 GB: 27-of-88 4.4 GB: 28-of-88 4.4 GB: 29-of-88 4.2 GB: 30-of-88 4.4 GB: 31-of-88 4.4 GB: 32-of-88 4.2 GB: 33-of-88 4.4 GB: 34-of-88 4.4 GB: 35-of-88 4.2 GB: 36-of-88 4.4 GB: 37-of-88 4.4 GB: 38-of-88 4.2 GB: 39-of-88 4.4 GB: 40-of-88 4.4 GB: 41-of-88 4.2 GB: 42-of-88 4.4 GB: 43-of-88 4.4 GB: 44-of-88 4.2 GB: 45-of-88 4.4 GB: 46-of-88
Quantization Type	4bit
Model Architecture	DeepseekV3ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.46.3
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V3.0324 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 DeepSeek V3.0324 4bit

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek R1 0528 4bit	160K / 198.7 GB	502	18

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/DeepSeek-V3-0324-4bit.