What are the hardware requirements for Qwen3 Coder Next FP8 Dynamic?

Qwen3 Coder Next FP8 Dynamic requires approximately 81.7 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 Coder Next FP8 Dynamic and how large is it?

Qwen3 Coder Next FP8 Dynamic is developed by RedHatAI, a model with 79.8b 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 Coder Next FP8 Dynamic?

Qwen3 Coder Next FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Coder Next FP8 Dynamic by RedHatAI — VRAM 81.7GB, 256K context

Name: Qwen3 Coder Next FP8 Dynamic
Author: RedHatAI

Qwen3 Coder Next FP8 Dynamic is an open-source language model by RedHatAI. Features: 79.8b LLM, VRAM: 81.7GB, Context: 256K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.34.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-coder-ne... Codegen Compressed-tensors Conversational Fp8 Llm-compressor Quantized Qwen3 next Red hat Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/RedHatAI/Qwen3-Coder-Next-FP8-dynamic

Qwen3 Coder Next FP8 Dynamic Parameters and Internals

LLM Name	Qwen3 Coder Next FP8 Dynamic
Repository 🤗	https://huggingface.co/RedHatAI/Qwen3-Coder-Next-FP8-dynamic
Base Model(s)	Qwen3 Coder Next Qwen/Qwen3-Coder-Next
Model Size	79.8b
Required VRAM	81.7 GB
Updated	2026-08-09
Maintainer	RedHatAI
Model Type	qwen3_next
Model Files	5.0 GB: 1-of-17 5.0 GB: 2-of-17 5.0 GB: 3-of-17 5.0 GB: 4-of-17 5.0 GB: 5-of-17 5.0 GB: 6-of-17 5.0 GB: 7-of-17 5.0 GB: 8-of-17 5.0 GB: 9-of-17 5.0 GB: 10-of-17 5.0 GB: 11-of-17 5.0 GB: 12-of-17 5.0 GB: 13-of-17 5.0 GB: 14-of-17 5.0 GB: 15-of-17 5.0 GB: 16-of-17 1.7 GB: 17-of-17
Generates Code	Yes
Model Architecture	Qwen3NextForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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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