What are the hardware requirements for GLM 5.2 SIQ Fruit?

GLM 5.2 SIQ Fruit requires a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.2 SIQ Fruit and how large is it?

GLM 5.2 SIQ Fruit is developed by malaiwah, a model with 1.5b 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 GLM 5.2 SIQ Fruit?

GLM 5.2 SIQ Fruit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.2 SIQ Fruit by malaiwah — 64K context

Name: GLM 5.2 SIQ Fruit
Author: malaiwah

GLM 5.2 SIQ Fruit is an open-source language model by malaiwah. Features: 1.5b LLM, Context: 64K, License: apache-2.0, MoE.

Ci-fixture Conversational En Glm Glm moe dsa Modelopt Moe Region:us Safetensors Serving-proxy Siq Trellis Vllm Zh

Model Card on HF 🤗: https://huggingface.co/malaiwah/GLM-5.2-SIQ-Fruit

GLM 5.2 SIQ Fruit Parameters and Internals

LLM Name	GLM 5.2 SIQ Fruit
Repository 🤗	https://huggingface.co/malaiwah/GLM-5.2-SIQ-Fruit
Model Size	1.5b
Required VRAM	0 GB
Updated	2026-08-09
Maintainer	malaiwah
Model Type	glm_moe_dsa
Model Files	0.3 GB 0.3 GB 0.0 GB 0.0 GB 0.0 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB
Supported Languages	en zh
Model Architecture	GlmMoeDsaForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	5.12.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	154880

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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