What are the hardware requirements for Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm?

Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm requires approximately 13 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 Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm and how large is it?

Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm is developed by rdtand, 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 Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm?

Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm by rdtand — VRAM 13GB, 256K context

Name: Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm
Author: rdtand

Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm is an open-source language model by rdtand. Features: 27b LLM, VRAM: 13GB, Context: 256K, License: apache-2.0.

8-bit Aqua Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Codebook-quantization Conversational Gridbook Mixed-precision Prismaquant Qwen3 5 text Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/rdtand/Qwen3.8-27B-PrismaAQUA-gridbook-13GB-5080-vllm

Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm Parameters and Internals

LLM Name	Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm
Repository 🤗	https://huggingface.co/rdtand/Qwen3.8-27B-PrismaAQUA-gridbook-13GB-5080-vllm
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	13 GB
Updated	2026-08-17
Maintainer	rdtand
Model Type	qwen3_5_text
Model Files	13.0 GB
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm capabilities

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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 Qwen3.8 27B PrismaAQUA Gridbook 13GB 5080 Vllm

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
...wen3.8 P44w75 16.8B Unrepaired	256K / 2.4 GB	929	1
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	6727	14
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	5919	14
Qwen3.6 27B Esper4	256K / 55.6 GB	292	19
Ornstein 3.6 27B RYS	256K / 56.8 GB	397	1
Qwen3.6 Solidity 27B	256K / 53.8 GB	87	6
Qwen3.6 27B Tachibana Agent	256K / 55.6 GB	60	7
Carnice 27B	256K / 53.7 GB	27	36
...wopus3.5 27B V3 FP8 Vllm Ready	256K / 29.4 GB	50	17

Note: green Score (e.g. "73.2") means that the model is better than rdtand/Qwen3.8-27B-PrismaAQUA-gridbook-13GB-5080-vllm.