What are the hardware requirements for Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5?

Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5 requires approximately 55.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5?

Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5 by YFC-112358 — VRAM 55.4GB

Name: Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5
Author: YFC-112358

Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5 is an open-source language model by YFC-112358. Features: 27b LLM, VRAM: 55.4GB, LLM Explorer Score: 0.29.

Base model:etemiz/ostrich-27b-... Base model:kai-os/carnice-v3 Base model:merge:etemiz/ostric... Base model:merge:kai-os/carnic... Base model:merge:qwen/qwen3.8-... Base model:merge:vectionlabs/s... Base model:merge:yfc-112358/qw... Base model:qwen/qwen3.8-27b Base model:vectionlabs/salienc... Base model:yfc-112358/qwen3.8-... Conversational Della linear Endpoints compatible Image-text-to-text Merge Mergekit Qwen3 Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/YFC-112358/Qwen3.8-27B-Della-Carnice-Ostrich-Salience-Glimmer-v5

Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5 Parameters and Internals

LLM Name	Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5
Repository 🤗	https://huggingface.co/YFC-112358/Qwen3.8-27B-Della-Carnice-Ostrich-Salience-Glimmer-v5
Base Model(s)	Qwen/Qwen3.8-27B Carnice V3 etemiz/Ostrich-27B-Qwen3.8-260815 Salience 27B R5 YFC-112358/Qwen3.8-27B-TM-Gemma4-Glimmer-v1 Qwen/Qwen3.8-27B kai-os/Carnice-V3 etemiz/Ostrich-27B-Qwen3.8-260815 vectionlabs/Salience-27B-R5 YFC-112358/Qwen3.8-27B-TM-Gemma4-Glimmer-v1
Model Size	27b
Required VRAM	55.4 GB
Updated	2026-08-30
Maintainer	YFC-112358
Model Type	qwen3_5
Model Files	2.1 GB: 1-of-28 2.1 GB: 2-of-28 2.1 GB: 3-of-28 0.7 GB: 4-of-28 2.5 GB: 5-of-28 2.1 GB: 6-of-28 2.1 GB: 7-of-28 2.1 GB: 8-of-28 2.1 GB: 9-of-28 2.1 GB: 10-of-28 2.1 GB: 11-of-28 2.1 GB: 12-of-28 2.1 GB: 13-of-28 2.1 GB: 14-of-28 2.1 GB: 15-of-28 2.1 GB: 16-of-28 2.1 GB: 17-of-28 2.1 GB: 18-of-28 2.1 GB: 19-of-28 2.1 GB: 20-of-28 2.0 GB: 21-of-28 2.1 GB: 22-of-28 2.1 GB: 23-of-28 2.1 GB: 24-of-28 2.1 GB: 25-of-28 0.7 GB: 26-of-28 2.5 GB: 27-of-28 0.8 GB: 28-of-28
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5 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 Qwen3.8 27B Della Carnice Ostrich Salience Glimmer V5

Best Alternatives	Context / RAM	Downloads	Likes
Agens Pilot	1024K / 54.7 GB	57	1
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.5 27B	0K / 55.2 GB	2536294	1028

Note: green Score (e.g. "73.2") means that the model is better than YFC-112358/Qwen3.8-27B-Della-Carnice-Ostrich-Salience-Glimmer-v5.