What are the hardware requirements for Veloxy Titan 32B?

Veloxy Titan 32B requires approximately 53.8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Veloxy Titan 32B and how large is it?

Veloxy Titan 32B is developed by zveloxy, a model with 27b 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 Veloxy Titan 32B?

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

Veloxy Titan 32B by zveloxy — VRAM 53.8GB, 256K context

Name: Veloxy Titan 32B
Author: zveloxy

Veloxy Titan 32B is an open-source language model by zveloxy. Features: 27b LLM, VRAM: 53.8GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

1m-context Agent Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Code Conversational Cot Cybersecurity En Endpoints compatible Gguf Java21 Loom Model-index Q4 Quantized Qwen3 5 text Qwen3 8 Reasoning Region:us Safetensors Sharded Tensorflow Think Titan Tool-calling Tr Turkish Veloxy Zero-refusal

Model Card on HF 🤗: https://huggingface.co/zveloxy/Veloxy-Titan-32B

Veloxy Titan 32B Parameters and Internals

LLM Name	Veloxy Titan 32B
Repository 🤗	https://huggingface.co/zveloxy/Veloxy-Titan-32B
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	53.8 GB
Updated	2026-10-12
Maintainer	zveloxy
Model Type	qwen3_5_text
Model Files	2.5 GB: 1-of-12 4.8 GB: 2-of-12 5.0 GB: 3-of-12 4.9 GB: 4-of-12 5.0 GB: 5-of-12 4.9 GB: 6-of-12 4.9 GB: 7-of-12 5.0 GB: 8-of-12 5.0 GB: 9-of-12 4.9 GB: 10-of-12 5.0 GB: 11-of-12 1.9 GB: 12-of-12 16.5 GB
Supported Languages	en tr
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.19.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Veloxy Titan 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 Veloxy Titan 32B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B OBLITERATED	256K / 83.2 GB	164950	516
JiRackDeltaNet 27b	256K / 10.9 GB	556172	3
...Bonsai 2 27B Heretic Satellite	256K / 53.9 GB	4177	0
Qwen3.8 Whittle 16B	256K / 2.4 GB	1719	1
Qwen3.8 27B OBLITERATEDpintus	256K / 83.2 GB	981	1
...onsai 27B Mlx Lossless 1.75bpw	0K / 5.9 GB	312	1
...tic Uncensored NM DAU MXFP4 1M	1024K / 0.1 GB	1502	1
...tic Uncensored NM DAU NVFP4 1M	256K / 0.8 GB	4357	2
...Heretic Abliterated Uncensored	256K / 53.9 GB	1891	3
...eretic Uncensored NM DAU NVFP4	256K / 0.1 GB	1767	2

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