What are the hardware requirements for GLM 4 32B Tulu Instruct?

GLM 4 32B Tulu Instruct requires approximately 65.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 4 32B Tulu Instruct and how large is it?

GLM 4 32B Tulu Instruct is developed by Delta-Vector, a model with 32b 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 4 32B Tulu Instruct?

GLM 4 32B Tulu Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 4 32B Tulu Instruct by Delta-Vector — VRAM 65.7GB, 32K context

Name: GLM 4 32B Tulu Instruct
Author: Delta-Vector

GLM 4 32B Tulu Instruct is an open-source language model by Delta-Vector. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Base model:arcee-ai/glm-4-32b-... Base model:finetune:arcee-ai/g... Chemistry Code Conversational Dataset:delta-vector/hydrus-pr... En Endpoints compatible Glm Glm4 Instruct Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Delta-Vector/GLM-4-32B-Tulu-Instruct

GLM 4 32B Tulu Instruct Benchmarks

LLME Score: 0.20314

^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 4 32B Tulu Instruct (Delta-Vector/GLM-4-32B-Tulu-Instruct)

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GLM 4 32B Tulu Instruct Parameters and Internals

LLM Name	GLM 4 32B Tulu Instruct
Repository 🤗	https://huggingface.co/Delta-Vector/GLM-4-32B-Tulu-Instruct
Base Model(s)	GLM 4 32B Base 32K arcee-ai/GLM-4-32B-Base-32K
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-04-22
Maintainer	Delta-Vector
Model Type	glm4
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-14 5.0 GB: 2-of-14 4.8 GB: 3-of-14 4.5 GB: 4-of-14 5.0 GB: 5-of-14 5.0 GB: 6-of-14 4.8 GB: 7-of-14 4.5 GB: 8-of-14 5.0 GB: 9-of-14 5.0 GB: 10-of-14 4.8 GB: 11-of-14 4.5 GB: 12-of-14 5.0 GB: 13-of-14 2.8 GB: 14-of-14 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	Glm4ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151345
Torch Data Type	bfloat16

Rank the GLM 4 32B Tulu Instruct 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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GLM 4 32B Tulu Instruct by Delta-Vector

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GLM 4 32B Tulu Instruct Benchmarks

GLM 4 32B Tulu Instruct Parameters and Internals

Rank the GLM 4 32B Tulu Instruct Capabilities

What open-source LLMs or SLMs are you in search of? 53310 in total.