What are the hardware requirements for Qwen3.6 27B Proteomics Rl Step10?

Qwen3.6 27B Proteomics Rl Step10 requires approximately 53.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 27B Proteomics Rl Step10 and how large is it?

Qwen3.6 27B Proteomics Rl Step10 is developed by Taewhoo, 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 Qwen3.6 27B Proteomics Rl Step10?

Qwen3.6 27B Proteomics Rl Step10 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 27B Proteomics Rl Step10 by Taewhoo — VRAM 53.5GB

Name: Qwen3.6 27B Proteomics Rl Step10
Author: Taewhoo

Qwen3.6 27B Proteomics Rl Step10 is an open-source language model by Taewhoo. Features: 27b LLM, VRAM: 53.5GB, License: apache-2.0, LLM Explorer Score: 0.27.

Conversational Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Taewhoo/qwen3.6-27b-proteomics-rl-step10

Qwen3.6 27B Proteomics Rl Step10 Parameters and Internals

LLM Name	Qwen3.6 27B Proteomics Rl Step10
Repository 🤗	https://huggingface.co/Taewhoo/qwen3.6-27b-proteomics-rl-step10
Model Size	27b
Required VRAM	53.5 GB
Updated	2026-08-13
Maintainer	Taewhoo
Model Type	qwen3_5
Model Files	5.3 GB: 0-of-11 5.2 GB: 1-of-11 5.3 GB: 2-of-11 5.3 GB: 3-of-11 5.2 GB: 4-of-11 5.2 GB: 5-of-11 5.2 GB: 6-of-11 5.3 GB: 7-of-11 5.3 GB: 8-of-11 3.7 GB: 9-of-11 2.5 GB: 10-of-11
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.6 27B Proteomics Rl Step10 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

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...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
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Qwen3.8 27B	0K / 55.6 GB	2	8753
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Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416

Note: green Score (e.g. "73.2") means that the model is better than Taewhoo/qwen3.6-27b-proteomics-rl-step10.