What are the hardware requirements for OrcaMaid V3 13B 32K AWQ?

OrcaMaid V3 13B 32K AWQ requires approximately 7.2 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 OrcaMaid V3 13B 32K AWQ and how large is it?

OrcaMaid V3 13B 32K AWQ is developed by TheBloke, a model with 13b 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 OrcaMaid V3 13B 32K AWQ?

OrcaMaid V3 13B 32K AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OrcaMaid V3 13B 32K AWQ by TheBloke — VRAM 7.2GB, 32K context

Name: OrcaMaid V3 13B 32K AWQ
Author: TheBloke

OrcaMaid V3 13B 32K AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Base model:ddh0/orcamaid-v3-13... Base model:quantized:ddh0/orca... Custom code Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/OrcaMaid-v3-13B-32k-AWQ

OrcaMaid V3 13B 32K AWQ Parameters and Internals

Model Type

llama

Training Details

Context Length:

32768

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	OrcaMaid V3 13B 32K AWQ
Repository 🤗	https://huggingface.co/TheBloke/OrcaMaid-v3-13B-32k-AWQ
Model Name	Orcamaid v3 13B 32K
Model Creator	ddh0
Base Model(s)	OrcaMaid V3 13B 32K ddh0/OrcaMaid-v3-13b-32k
Model Size	13b
Required VRAM	7.2 GB
Updated	2026-07-28
Maintainer	TheBloke
Model Type	llama
Model Files	7.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32000
Torch Data Type	float16

Rank the OrcaMaid V3 13B 32K AWQ 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 OrcaMaid V3 13B 32K AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Yarn Llama 2 13B 128K AWQ	128K / 7.2 GB	4	2
LongAlign 13B 64K AWQ	64K / 7.2 GB	4	2
...oboros L2 13B 2 1 YaRN 64K AWQ	64K / 7.2 GB	5	2
OrcaMaid V2 FIX 13B 32K AWQ	32K / 7.2 GB	7	1
NexusRaven V2 13B AWQ	16K / 7.2 GB	11	3
NexusRaven V2 13B AWQ	16K / 7.2 GB	1	3
...th CodeLlama 13B Python Hf AWQ	16K / 7.5 GB	6	0
WhiteRabbitNeo 13B AWQ	16K / 7.2 GB	332	4
NexusRaven V2 13B AWQ	16K / 7.2 GB	10	1
Ramgpt 13B AWQ Gemm	16K / 7.2 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/OrcaMaid-v3-13B-32k-AWQ.