What are the hardware requirements for Rose 20B GPTQ?

Rose 20B GPTQ requires approximately 10.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Rose 20B GPTQ and how large is it?

Rose 20B GPTQ is developed by TheBloke, a model with 20b 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 Rose 20B GPTQ?

Rose 20B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rose 20B GPTQ by TheBloke — VRAM 10.5GB, 4K context

Name: Rose 20B GPTQ
Author: TheBloke

Rose 20B GPTQ is an open-source language model by TheBloke. Features: 20b LLM, VRAM: 10.5GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

4-bit Base model:quantized:tavtav/ro... Base model:tavtav/rose-20b En Gptq Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Rose-20B-GPTQ

Rose 20B GPTQ Parameters and Internals

Model Type

llama, text-generation

Use Cases

Areas:

research, commercial applications

Applications:

roleplay models

Primary Use Cases:

finetuning experiments

Additional Notes

The model is robust and good at roleplay scenarios. It's a frankenmerge model known for its potential in finetuning experiments.

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

LLM Name	Rose 20B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Rose-20B-GPTQ
Model Name	Rose 20B
Model Creator	Tav
Base Model(s)	Rose 20B tavtav/Rose-20B
Model Size	20b
Required VRAM	10.5 GB
Updated	2026-07-30
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	10.5 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32000
Torch Data Type	float16

Rank the Rose 20B 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 Rose 20B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
EAGLE3 GPT Oss 20B	128K / 0.7 GB	507	0
Bagel 20B V04 Llama	32K / 39.6 GB	6	7
Bagel DPO 20B V04 Llama	32K / 39.6 GB	7	3
...lm2 1.7B Distilled GPT Oss 20B	8K / 0 GB	35	3
...runed Base PostPruneRetraining	8K / 0 GB	5	0
...lerLM 20M Instruct Pruned Sft5	8K / 0.1 GB	12	0
Rose 20B	4K / 39.9 GB	114	46
Rose 20B AWQ	4K / 10.9 GB	1	1
...I Llama2 Ko En Instruct 20B V1	2K / 40.4 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Rose-20B-GPTQ.