What are the hardware requirements for LLaDA2.0 Flash 4bit?

LLaDA2.0 Flash 4bit requires approximately 57.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LLaDA2.0 Flash 4bit and how large is it?

LLaDA2.0 Flash 4bit is developed by mlx-community, a model with 102.9b 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 LLaDA2.0 Flash 4bit?

LLaDA2.0 Flash 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLaDA2.0 Flash 4bit by mlx-community — VRAM 57.8GB, 32K context

Name: LLaDA2.0 Flash 4bit
Author: mlx-community

LLaDA2.0 Flash 4bit is an open-source language model by mlx-community. Features: 102.9b LLM, VRAM: 57.8GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

4-bit 4bit Base model:inclusionai/llada2.... Base model:quantized:inclusion... Conversational Custom code Diffusion Dllm Llada2 moe Mlx Quantized Region:us Safetensors Sharded Tensorflow Text generation

Model Card on HF 🤗: https://huggingface.co/mlx-community/LLaDA2.0-flash-4bit

LLaDA2.0 Flash 4bit Parameters and Internals

LLM Name	LLaDA2.0 Flash 4bit
Repository 🤗	https://huggingface.co/mlx-community/LLaDA2.0-flash-4bit
Base Model(s)	inclusionAI/LLaDA2.0-flash inclusionAI/LLaDA2.0-flash
Model Size	102.9b
Required VRAM	57.8 GB
Updated	2026-07-18
Maintainer	mlx-community
Model Type	llada2_moe
Model Files	5.4 GB: 1-of-12 4.9 GB: 2-of-12 4.9 GB: 3-of-12 4.9 GB: 4-of-12 4.9 GB: 5-of-12 4.9 GB: 6-of-12 4.9 GB: 7-of-12 4.9 GB: 8-of-12 4.9 GB: 9-of-12 4.9 GB: 10-of-12 4.9 GB: 11-of-12 3.4 GB: 12-of-12
Quantization Type	4bit
Model Architecture	LLaDA2MoeModelLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	157184
Torch Data Type	bfloat16

Rank the LLaDA2.0 Flash 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 LLaDA2.0 Flash 4bit

Best Alternatives	Context / RAM	Downloads	Likes
LLaDA2.2 Flash OptiQ 2bit	128K / 38.9 GB	61	3
LLaDA2.0 Flash 8bit	32K / 109.3 GB	11	1
LLaDA2.0 Flash Preview 4bit	16K / 57.8 GB	12	3
LLaDA2.2 Flash	128K / 204.5 GB	328	57
LLaDA2.1 Flash	32K / 204.5 GB	29820	93
LLaDA2.0 Flash	32K / 206 GB	518	69
LLaDA2.0 Flash CAP	32K / 206 GB	65	9
LLaDA2.0 Flash Preview	16K / 205.9 GB	24	67

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/LLaDA2.0-flash-4bit.