What are the hardware requirements for GLM 5.2 Colibri Int4?

GLM 5.2 Colibri Int4 requires approximately 2.7 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.2 Colibri Int4 and how large is it?

GLM 5.2 Colibri Int4 is developed by jlnsrk. 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 Colibri Int4?

GLM 5.2 Colibri Int4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.2 Colibri Int4 by jlnsrk — VRAM 2.7GB, 1024K context

Name: GLM 5.2 Colibri Int4
Author: jlnsrk

GLM 5.2 Colibri Int4 is an open-source language model by jlnsrk. Features: LLM, VRAM: 2.7GB, Context: 1024K, License: mit, MoE.

Base model:quantized:zai-org/g... Base model:zai-org/glm-5.2-fp8 Colibri Cpu En Expert-streaming Fp8 Glm moe dsa Int4 Moe Region:us Zh

Model Card on HF 🤗: https://huggingface.co/jlnsrk/GLM-5.2-colibri-int4

GLM 5.2 Colibri Int4 Parameters and Internals

LLM Name	GLM 5.2 Colibri Int4
Repository 🤗	https://huggingface.co/jlnsrk/GLM-5.2-colibri-int4
Base Model(s)	zai-org/GLM-5.2-FP8 zai-org/GLM-5.2-FP8
Required VRAM	2.7 GB
Updated	2026-10-27
Maintainer	jlnsrk
Model Type	glm_moe_dsa
Model Files	2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB 2.7 GB
Supported Languages	en zh
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.12.0
Vocabulary Size	154880

Rank the GLM 5.2 Colibri Int4 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 GLM 5.2 Colibri Int4

Best Alternatives	Context / RAM	Downloads	Likes
Glm 5.3 Exlr8 K2 K3 K4	1024K / GB	117649	12
...Colibri Int4 G64 With Int8 Mtp	1024K / 2.8 GB	10526	43
Atria Dawn Preview MLX Q4i	1024K / 198.7 GB	400	2
GLM 5.3 NVFP4 CSF	1024K / GB	133	1
GLM 5.3 Int4 Int8Mix	1024K / 62.2 GB	219	2
GLM 5.3 Colibri Int4 G64	1024K / 2.8 GB	25	1
GLM 5.2 NVFP4 TR3 Hybrid	1024K / 0.8 GB	338	3
GLM 5 FP8	198K / 243 GB	54	5

Note: green Score (e.g. "73.2") means that the model is better than jlnsrk/GLM-5.2-colibri-int4.