What are the hardware requirements for LWM Text 256K?

LWM Text 256K requires approximately 13.5 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LWM Text 256K and how large is it?

LWM Text 256K is developed by LargeWorldModel. 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 LWM Text 256K?

LWM Text 256K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LWM Text 256K by LargeWorldModel — VRAM 13.5GB, 256K context

Name: LWM Text 256K
Author: LargeWorldModel

LWM Text 256K is an open-source language model by LargeWorldModel. Features: LLM, VRAM: 13.5GB, Context: 256K, LLM Explorer Score: 0.11.

Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/LargeWorldModel/LWM-Text-256K

LWM Text 256K Parameters and Internals

Model Type

auto-regressive, transformer

Training Details

Data Sources:

Books3

Data Volume:

37K subset of Books3 documents with 200K to 500K tokens

Training Time:

December 2023

Model Architecture:

transformer

LLM Name	LWM Text 256K
Repository 🤗	https://huggingface.co/LargeWorldModel/LWM-Text-256K
Required VRAM	13.5 GB
Updated	2026-07-31
Maintainer	LargeWorldModel
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.29.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the LWM Text 256K 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

Quantized Models of the LWM Text 256K

Model	Likes	Downloads	VRAM
LWM Text 256K GGUF	6	97	2 GB

Best Alternatives to LWM Text 256K

Best Alternatives	Context / RAM	Downloads	Likes
LWM Text 512K	512K / 13.5 GB	13	2
LWM Text Chat 512K	512K / 13.5 GB	9	2
LWM Text Chat 256K	256K / 13.5 GB	10	3
Pallas 0.5 LASER 0.1	195K / 68.9 GB	52	2
SnorTTS Indic V0	128K / 9.5 GB	518	22
Orpheus AUS	128K / GB	18	0
Finetuning Health Ci	128K / 6.5 GB	23	2
Ukr Synth Phi 3.5	128K / 7.6 GB	9	0
WizardLM Phi 3.5	128K / 7.6 GB	8	0
LLaMA Mesh	128K / 16.1 GB	410	184

Note: green Score (e.g. "73.2") means that the model is better than LargeWorldModel/LWM-Text-256K.