What are the hardware requirements for CTRL 32B?

CTRL 32B requires approximately 131.5 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 CTRL 32B and how large is it?

CTRL 32B is developed by Zhihui, 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 CTRL 32B?

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

CTRL 32B by Zhihui — VRAM 131.5GB, 32K context

Name: CTRL 32B
Author: Zhihui

CTRL 32B is an open-source language model by Zhihui. Features: 32b LLM, VRAM: 131.5GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.17.

Arxiv:2502.03492 Codegen Conversational Instruct Qwen2 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/Zhihui/CTRL-32B

CTRL 32B Parameters and Internals

LLM Name	CTRL 32B
Repository 🤗	https://huggingface.co/Zhihui/CTRL-32B
Model Size	32b
Required VRAM	131.5 GB
Updated	2026-05-18
Maintainer	Zhihui
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.5 GB: 1-of-29 4.7 GB: 2-of-29 4.5 GB: 3-of-29 4.5 GB: 4-of-29 4.7 GB: 5-of-29 4.5 GB: 6-of-29 4.5 GB: 7-of-29 4.7 GB: 8-of-29 4.5 GB: 9-of-29 4.5 GB: 10-of-29 4.7 GB: 11-of-29 4.5 GB: 12-of-29 4.5 GB: 13-of-29 4.7 GB: 14-of-29 4.5 GB: 15-of-29 4.5 GB: 16-of-29 4.7 GB: 17-of-29 4.5 GB: 18-of-29 4.5 GB: 19-of-29 4.7 GB: 20-of-29 4.5 GB: 21-of-29 4.5 GB: 22-of-29 4.7 GB: 23-of-29 4.5 GB: 24-of-29 4.5 GB: 25-of-29 4.7 GB: 26-of-29 4.5 GB: 27-of-29 4.5 GB: 28-of-29 3.7 GB: 29-of-29
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float32
Errors	replace

Rank the CTRL 32B 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 CTRL 32B

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0
QwQenSeek Coder	128K / 65.7 GB	26	5
Rombos Coder V2.5 Qwen 32B	128K / 65.8 GB	10	19
Tessa T1 32B	117K / 65.8 GB	12	22
UIGEN T1.5 32B	117K / 65.8 GB	12	13
Qwen2.5 Coder 32B Instruct	32K / 65.8 GB	1265226	2087
Qwen2.5 Coder 32B Instruct	32K / 65.8 GB	2100	7

Note: green Score (e.g. "73.2") means that the model is better than Zhihui/CTRL-32B.