What are the hardware requirements for GLM 5.3 MLX Mixed 4 8bit?

GLM 5.3 MLX Mixed 4 8bit requires approximately 0.4 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 5.3 MLX Mixed 4 8bit and how large is it?

GLM 5.3 MLX Mixed 4 8bit is developed by pipenetwork, a model with 118.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GLM 5.3 MLX Mixed 4 8bit perform on standard benchmarks?

GLM 5.3 MLX Mixed 4 8bit has the following published scores: LMSYS ELO 1484. Compare against reference models on this page or on the LLM Explorer leaderboards.

GLM 5.3 MLX Mixed 4 8bit by pipenetwork — VRAM 0.4GB, 1024K context

Name: GLM 5.3 MLX Mixed 4 8bit
Author: pipenetwork

GLM 5.3 MLX Mixed 4 8bit is an open-source language model by pipenetwork. Features: 118.7b LLM, VRAM: 0.4GB, Context: 1024K, License: other, MoE, Quantized, LLM Explorer Score: 0.48, ELO: 1484.

4-bit 8bit Apple-silicon Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3 Conversational Glm moe dsa Mixture-of-experts Mlx Moe Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pipenetwork/GLM-5.3-MLX-mixed-4_8bit

GLM 5.3 MLX Mixed 4 8bit Benchmarks

LMSys ELO 1484 vs 1272 (so35) 16.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

GLM 5.3 MLX Mixed 4 8bit Parameters and Internals

LLM Name	GLM 5.3 MLX Mixed 4 8bit
Repository 🤗	https://huggingface.co/pipenetwork/GLM-5.3-MLX-mixed-4_8bit
Base Model(s)	zai-org/GLM-5.3 zai-org/GLM-5.3
Model Size	118.7b
Required VRAM	0.4 GB
Updated	2026-08-30
Maintainer	pipenetwork
Model Type	glm_moe_dsa
Model Files	2.0 GB 0.4 GB 0.4 GB 0.4 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB 5.7 GB
Quantization Type	8bit
Model Architecture	GlmMoeDsaForCausalLM
License	other
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.15.0
Vocabulary Size	154880

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Instruction Following and Task Automation
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Text Generation
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