What are the hardware requirements for GS Qwen3.8 27B V2 Tulu Commitpackft Compelete?

GS Qwen3.8 27B V2 Tulu Commitpackft Compelete requires approximately 55.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GS Qwen3.8 27B V2 Tulu Commitpackft Compelete and how large is it?

GS Qwen3.8 27B V2 Tulu Commitpackft Compelete is developed by qweqwqw113, 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 GS Qwen3.8 27B V2 Tulu Commitpackft Compelete?

GS Qwen3.8 27B V2 Tulu Commitpackft Compelete is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GS Qwen3.8 27B V2 Tulu Commitpackft Compelete by qweqwqw113 — VRAM 55.6GB

Name: GS Qwen3.8 27B V2 Tulu Commitpackft Compelete
Author: qweqwqw113

GS Qwen3.8 27B V2 Tulu Commitpackft Compelete is an open-source language model by qweqwqw113. Features: 27b LLM, VRAM: 55.6GB, Instruction-Based, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Code Conversational Dataset:allenai/tulu-3-sft-per... Dataset:bigcode/commitpackft En Endpoints compatible Image-text-to-text Instruct Instruction-following Lora Lora-merged Mlx Qwen3 5 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/qweqwqw113/GS-qwen3.8-27B-V2-tulu-commitpackft-compelete

GS Qwen3.8 27B V2 Tulu Commitpackft Compelete Parameters and Internals

LLM Name	GS Qwen3.8 27B V2 Tulu Commitpackft Compelete
Repository 🤗	https://huggingface.co/qweqwqw113/GS-qwen3.8-27B-V2-tulu-commitpackft-compelete
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-10-26
Maintainer	qweqwqw113
Model Type	qwen3_5
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-18 3.0 GB: 2-of-18 2.5 GB: 3-of-18 4.0 GB: 4-of-18 2.1 GB: 5-of-18 4.0 GB: 6-of-18 2.1 GB: 7-of-18 4.0 GB: 8-of-18 2.1 GB: 9-of-18 4.0 GB: 10-of-18 2.1 GB: 11-of-18 4.0 GB: 12-of-18 2.1 GB: 13-of-18 4.0 GB: 14-of-18 2.1 GB: 15-of-18 4.0 GB: 16-of-18 2.1 GB: 17-of-18 3.4 GB: 18-of-18
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
LoRA Model	Yes
Errors	replace

Rank the GS Qwen3.8 27B V2 Tulu Commitpackft Compelete 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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Note: green Score (e.g. "73.2") means that the model is better than qweqwqw113/GS-qwen3.8-27B-V2-tulu-commitpackft-compelete.