What are the hardware requirements for Glm 5.3 Exlr8 K2 K3 K4?

Glm 5.3 Exlr8 K2 K3 K4 requires a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Glm 5.3 Exlr8 K2 K3 K4 and how large is it?

Glm 5.3 Exlr8 K2 K3 K4 is developed by kindlingai. 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 Glm 5.3 Exlr8 K2 K3 K4?

Glm 5.3 Exlr8 K2 K3 K4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Glm 5.3 Exlr8 K2 K3 K4 by kindlingai — 1024K context

Name: Glm 5.3 Exlr8 K2 K3 K4
Author: kindlingai

Glm 5.3 Exlr8 K2 K3 K4 is an open-source language model by kindlingai. Features: LLM, Context: 1024K, License: other, MoE, LLM Explorer Score: 0.44.

Base model:finetune:zai-org/gl... Base model:zai-org/glm-5.3-bf1... Conversational Exl3 Gb10 Glm Glm moe dsa Moe Quantized Region:us Tensor-parallel Trellis

Model Card on HF 🤗: https://huggingface.co/kindlingai/glm-5.3-exlr8-k2-k3-k4

Glm 5.3 Exlr8 K2 K3 K4 Parameters and Internals

LLM Name	Glm 5.3 Exlr8 K2 K3 K4
Repository 🤗	https://huggingface.co/kindlingai/glm-5.3-exlr8-k2-k3-k4
Base Model(s)	zai-org/GLM-5.3-BF16 zai-org/GLM-5.3-BF16
Updated	2026-10-12
Maintainer	kindlingai
Model Type	glm_moe_dsa
Model Architecture	GlmMoeDsaForCausalLM
License	other
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.15.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	154880

Rank the Glm 5.3 Exlr8 K2 K3 K4 capabilities

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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

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