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. 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: LLM, VRAM: 80.3GB, Context: 256K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.32.

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 Benchmarks

LLME Score: 0.31821

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen3 Coder Next FP8 (unsloth/Qwen3-Coder-Next-FP8)

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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
Required VRAM	80.3 GB
Updated	2026-05-04
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

Best Alternatives to Qwen3 Coder Next FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Coder Next Base	256K / 159.4 GB	219	6
Qwen3 Coder Next 4bit	256K / 44.9 GB	7370	20
...i Qwen3 Coder Next Abliterated	256K / 159.4 GB	1232	50

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

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Release v20260328a

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Qwen3 Coder Next FP8 by unsloth

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Qwen3 Coder Next FP8 Benchmarks

Qwen3 Coder Next FP8 Parameters and Internals

Best Alternatives to Qwen3 Coder Next FP8

Rank the Qwen3 Coder Next FP8 Capabilities

What open-source LLMs or SLMs are you in search of? 53651 in total.