What are the hardware requirements for Vicuna 33B 1 3 SuperHOT 8K GPTQ?

Vicuna 33B 1 3 SuperHOT 8K GPTQ requires approximately 16.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vicuna 33B 1 3 SuperHOT 8K GPTQ and how large is it?

Vicuna 33B 1 3 SuperHOT 8K GPTQ is developed by TheBloke, a model with 33b 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 Vicuna 33B 1 3 SuperHOT 8K GPTQ?

Vicuna 33B 1 3 SuperHOT 8K GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vicuna 33B 1 3 SuperHOT 8K GPTQ by TheBloke — VRAM 16.9GB, 8K context

Name: Vicuna 33B 1 3 SuperHOT 8K GPTQ
Author: TheBloke

Vicuna 33B 1 3 SuperHOT 8K GPTQ is an open-source language model by TheBloke. Features: 33b LLM, VRAM: 16.9GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.08.

Arxiv:2302.13971 Arxiv:2306.05685 4-bit Custom code Ext 8k Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Vicuna-33B-1-3-SuperHOT-8K-GPTQ

Vicuna 33B 1 3 SuperHOT 8K GPTQ Parameters and Internals

Model Type

auto-regressive, transformer

Use Cases

Areas:

research, natural language processing, machine learning, artificial intelligence

Applications:

chatbots

Additional Notes

It is the result of quantising to 4bit using GPTQ-for-LLaMa.

Training Details

Data Sources:

ShareGPT.com

Methodology:

Supervised instruction fine-tuning

Context Length:

8192

LLM Name	Vicuna 33B 1 3 SuperHOT 8K GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Vicuna-33B-1-3-SuperHOT-8K-GPTQ
Model Size	33b
Required VRAM	16.9 GB
Updated	2026-08-04
Maintainer	TheBloke
Model Type	llama
Model Files	16.9 GB
GPTQ Quantization	Yes
Context Length	8k
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.30.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Vicuna 33B 1 3 SuperHOT 8K GPTQ 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 Vicuna 33B 1 3 SuperHOT 8K GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Everyone Coder 33B Base GPTQ	16K / 17.4 GB	2	3
WhiteRabbitNeo 33B V1 GPTQ	16K / 17.4 GB	57	4
CodeFuse DeepSeek 33B 4bits	16K / 18.7 GB	7	10
WizardCoder 33B V1.1 GPTQ	16K / 17.4 GB	16	11
...epseek Coder 33B Instruct GPTQ	16K / 17.4 GB	267	25
Deepseek Coder 33B Base GPTQ	16K / 17.4 GB	18	2
... 33B Gpt4 1 4 SuperHOT 8K GPTQ	8K / 16.9 GB	80	26
Sorceroboros 33B S2a4 Gptq	8K / 17.6 GB	7	3
...Combined Data SuperHOT 8K GPTQ	8K / 18.1 GB	5	4
...se Alpaca 33B SuperHOT 8K GPTQ	8K / 17.4 GB	45	11

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Vicuna-33B-1-3-SuperHOT-8K-GPTQ.