What are the hardware requirements for Qwen3.8 27B CodeForge 3xMerge?

Qwen3.8 27B CodeForge 3xMerge requires approximately 55.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B CodeForge 3xMerge and how large is it?

Qwen3.8 27B CodeForge 3xMerge is developed by xtools-at, 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 CodeForge 3xMerge?

Qwen3.8 27B CodeForge 3xMerge is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B CodeForge 3xMerge by xtools-at — VRAM 55.5GB

Name: Qwen3.8 27B CodeForge 3xMerge
Author: xtools-at

Qwen3.8 27B CodeForge 3xMerge is an open-source language model by xtools-at. Features: 27b LLM, VRAM: 55.5GB, License: apache-2.0, Instruction-Based, Code Generating.

Agentic Base model:jackrong/qwopus3.8-... Base model:merge:jackrong/qwop... Base model:merge:nerkyor/qwen3... Base model:merge:qwen/qwen3.8-... Base model:merge:teichai/qwen3... Base model:nerkyor/qwen3.8-27b... Base model:qwen/qwen3.8-27b Base model:teichai/qwen3.8-27b... Code-generation Codegen Coding Conversational Distillation Efficient-thinking En Endpoints compatible Image-text-to-text Instruct Instruction-following Merge Qwen3.8 Qwen3 5 Qwen3 8 Reasoning Region:us Safetensors Sharded Tensorflow Tool-use Zh

Model Card on HF 🤗: https://huggingface.co/xtools-at/Qwen3.8-27B-CodeForge-3xMerge

Qwen3.8 27B CodeForge 3xMerge Parameters and Internals

LLM Name	Qwen3.8 27B CodeForge 3xMerge
Repository 🤗	https://huggingface.co/xtools-at/Qwen3.8-27B-CodeForge-3xMerge
Base Model(s)	Qwen/Qwen3.8-27B nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 TeichAI/Qwen3.8-27B-Fable-Distill Jackrong/Qwopus3.8-27B-Coder-Flash Qwen/Qwen3.8-27B nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 TeichAI/Qwen3.8-27B-Fable-Distill Jackrong/Qwopus3.8-27B-Coder-Flash
Model Size	27b
Required VRAM	55.5 GB
Updated	2026-11-05
Maintainer	xtools-at
Model Type	qwen3_5
Instruction-Based	Yes
Model Files	5.1 GB: 1-of-13 4.4 GB: 2-of-13 4.3 GB: 3-of-13 4.3 GB: 4-of-13 4.5 GB: 5-of-13 4.4 GB: 6-of-13 4.4 GB: 7-of-13 4.3 GB: 8-of-13 4.4 GB: 9-of-13 4.3 GB: 10-of-13 4.4 GB: 11-of-13 4.3 GB: 12-of-13 2.4 GB: 13-of-13
Supported Languages	en zh
Generates Code	Yes
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B CodeForge 3xMerge 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 CodeForge 3xMerge

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B USS Prism	0K / 55.5 GB	68	0

Note: green Score (e.g. "73.2") means that the model is better than xtools-at/Qwen3.8-27B-CodeForge-3xMerge.