What are the hardware requirements for Qwen3 Coder Next FP8?

Qwen3 Coder Next FP8 requires approximately 80.3 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 and how large is it?

Qwen3 Coder Next FP8 is developed by unsloth, a model with 79.7b 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?

Qwen3 Coder Next FP8 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 by unsloth — VRAM 80.3GB, 256K context

Name: Qwen3 Coder Next FP8
Author: unsloth

Qwen3 Coder Next FP8 is an open-source language model by unsloth. Features: 79.7b LLM, VRAM: 80.3GB, Context: 256K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.25.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-coder-ne... Codegen Conversational Endpoints compatible Fp8 Qwen Qwen3 Qwen3 next Region:us Safetensors Sharded Tensorflow Unsloth

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

Qwen3 Coder Next FP8 Parameters and Internals

LLM Name	Qwen3 Coder Next FP8
Repository 🤗	https://huggingface.co/unsloth/Qwen3-Coder-Next-FP8
Base Model(s)	Qwen3 Coder Next Qwen/Qwen3-Coder-Next
Model Size	79.7b
Required VRAM	80.3 GB
Updated	2026-08-02
Maintainer	unsloth
Model Type	qwen3_next
Model Files	2.3 GB: 1-of-40 2.0 GB: 2-of-40 2.0 GB: 3-of-40 2.0 GB: 4-of-40 2.0 GB: 5-of-40 2.0 GB: 6-of-40 2.0 GB: 7-of-40 2.0 GB: 8-of-40 2.0 GB: 9-of-40 2.0 GB: 10-of-40 2.0 GB: 11-of-40 2.0 GB: 12-of-40 2.0 GB: 13-of-40 2.0 GB: 14-of-40 2.0 GB: 15-of-40 2.0 GB: 16-of-40 2.0 GB: 17-of-40 2.0 GB: 18-of-40 2.0 GB: 19-of-40 2.0 GB: 20-of-40 2.0 GB: 21-of-40 2.0 GB: 22-of-40 2.0 GB: 23-of-40 2.0 GB: 24-of-40 2.0 GB: 25-of-40 2.0 GB: 26-of-40 2.0 GB: 27-of-40 2.0 GB: 28-of-40 2.0 GB: 29-of-40 2.0 GB: 30-of-40 2.0 GB: 31-of-40 2.0 GB: 32-of-40 2.0 GB: 33-of-40 2.0 GB: 34-of-40 2.0 GB: 35-of-40 2.0 GB: 36-of-40 2.0 GB: 37-of-40 2.0 GB: 38-of-40 2.0 GB: 39-of-40 2.0 GB: 40-of-40
Generates Code	Yes
Model Architecture	Qwen3NextForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Qwen3 Coder Next FP8 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 Coder Next FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Coder Next	256K / 159.4 GB	908245	1546
Qwen3 Coder Next FP8	256K / 80.3 GB	669389	148
Qwen3 Coder Next FP8 Dynamic	256K / 83.4 GB	17864	45
Qwen3 Coder Next Base	256K / 159.4 GB	1910	70
Qwen3 Coder Next Bf16	256K / 159.7 GB	2193	3
Qwen3 Coder Next Mxfp8	256K / 82.3 GB	254	1
Qwen3 Coder Next Mxfp4	256K / 42 GB	241	1
Qwen3 Coder Next	256K / 159.4 GB	976	27
SVD Qwen3 Coder Next Thinking	256K / 318.7 GB	10	0
Qwen3 Coder Next Base	256K / 159.4 GB	22	7

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-Coder-Next-FP8.