What are the hardware requirements for LongCat Flash Lite 4bit DWQ?

LongCat Flash Lite 4bit DWQ requires approximately 38.5 GB of VRAM and supports a context window of 320K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LongCat Flash Lite 4bit DWQ and how large is it?

LongCat Flash Lite 4bit DWQ is developed by mlx-community, a model with 68.6b 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 LongCat Flash Lite 4bit DWQ?

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

LongCat Flash Lite 4bit DWQ by mlx-community — VRAM 38.5GB, 320K context

Name: LongCat Flash Lite 4bit DWQ
Author: mlx-community

LongCat Flash Lite 4bit DWQ is an open-source language model by mlx-community. Features: 68.6b LLM, VRAM: 38.5GB, Context: 320K, License: mit, Quantized, LLM Explorer Score: 0.22.

4-bit 4bit Base model:meituan-longcat/lon... Base model:quantized:meituan-l... Conversational Custom code Longcat flash ngram Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/LongCat-Flash-Lite-4bit-DWQ

LongCat Flash Lite 4bit DWQ Parameters and Internals

LLM Name	LongCat Flash Lite 4bit DWQ
Repository 🤗	https://huggingface.co/mlx-community/LongCat-Flash-Lite-4bit-DWQ
Base Model(s)	LongCat Flash Lite meituan-longcat/LongCat-Flash-Lite
Model Size	68.6b
Required VRAM	38.5 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	longcat_flash_ngram
Model Files	4.6 GB: 1-of-8 4.4 GB: 2-of-8 4.4 GB: 3-of-8 5.3 GB: 4-of-8 5.4 GB: 5-of-8 5.4 GB: 6-of-8 5.3 GB: 7-of-8 3.7 GB: 8-of-8
Quantization Type	4bit
Model Architecture	LongcatFlashNgramForCausalLM
License	mit
Context Length	327680
Model Max Length	327680
Transformers Version	4.57.6
Tokenizer Class	TokenizersBackend
Padding Token	<longcat_pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the LongCat Flash Lite 4bit DWQ 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 LongCat Flash Lite 4bit DWQ

Best Alternatives	Context / RAM	Downloads	Likes
LongCat Flash Lite 6bit	320K / 55.5 GB	82	2
LongCat Flash Lite 8bit	320K / 73.3 GB	57	1
...d Heretic Native MTP Preserved	320K / 136.8 GB	0	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/LongCat-Flash-Lite-4bit-DWQ.