What are the hardware requirements for Qwen3.8 27B Dat Grpo Full250?

Qwen3.8 27B Dat Grpo Full250 requires approximately 44.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B Dat Grpo Full250 and how large is it?

Qwen3.8 27B Dat Grpo Full250 is developed by crazyleg11, 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 Dat Grpo Full250?

Qwen3.8 27B Dat Grpo Full250 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Dat Grpo Full250 by crazyleg11 — VRAM 44.5GB

Name: Qwen3.8 27B Dat Grpo Full250
Author: crazyleg11

Qwen3.8 27B Dat Grpo Full250 is an open-source language model by crazyleg11. Features: 27b LLM, VRAM: 44.5GB, License: apache-2.0.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Conversational Creativity Divergent-association-task En Endpoints compatible Full-finetuning Grpo Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/crazyleg11/qwen3.8-27b-dat-grpo-full250

Qwen3.8 27B Dat Grpo Full250 Parameters and Internals

LLM Name	Qwen3.8 27B Dat Grpo Full250
Repository 🤗	https://huggingface.co/crazyleg11/qwen3.8-27b-dat-grpo-full250
Model Name	crazyleg11/qwen3.8-27b-dat-grpo-full250
Base Model(s)	unsloth/Qwen3.8-27B-unsloth-bnb-4bit Qwen/Qwen3.8-27B unsloth/Qwen3.8-27B-unsloth-bnb-4bit Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	44.5 GB
Updated	2026-11-06
Maintainer	crazyleg11
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-55 2.5 GB: 2-of-55 1.0 GB: 3-of-55 0.9 GB: 4-of-55 1.0 GB: 5-of-55 0.9 GB: 6-of-55 1.0 GB: 7-of-55 0.9 GB: 8-of-55 1.0 GB: 9-of-55 0.9 GB: 10-of-55 0.9 GB: 11-of-55 1.0 GB: 12-of-55 0.9 GB: 13-of-55 0.9 GB: 14-of-55 1.0 GB: 15-of-55 0.9 GB: 16-of-55 0.9 GB: 17-of-55 0.9 GB: 18-of-55 1.0 GB: 19-of-55 0.9 GB: 20-of-55 1.0 GB: 21-of-55 0.9 GB: 22-of-55 1.0 GB: 23-of-55 0.9 GB: 24-of-55 1.0 GB: 25-of-55 0.9 GB: 26-of-55 0.9 GB: 27-of-55 1.0 GB: 28-of-55 0.9 GB: 29-of-55 0.9 GB: 30-of-55 1.0 GB: 31-of-55 0.9 GB: 32-of-55 0.9 GB: 33-of-55 0.9 GB: 34-of-55 1.0 GB: 35-of-55 0.9 GB: 36-of-55 1.0 GB: 37-of-55 0.9 GB: 38-of-55 1.0 GB: 39-of-55 0.9 GB: 40-of-55 1.0 GB: 41-of-55 0.9 GB: 42-of-55 0.9 GB: 43-of-55 1.0 GB: 44-of-55
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Transformers Version	5.17.0

Rank the Qwen3.8 27B Dat Grpo Full250 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 Dat Grpo Full250

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	86	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	22043	2237
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B NVFP4 DGX SPARK V2	0K / 19.8 GB	11317	113
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419

Note: green Score (e.g. "73.2") means that the model is better than crazyleg11/qwen3.8-27b-dat-grpo-full250.