What are the hardware requirements for Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE?

Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE requires approximately 51.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE and how large is it?

Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE is developed by auggie246, a model with 70.4b 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 Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE?

Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE by auggie246 — VRAM 51.9GB

Name: Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE
Author: auggie246

Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE is an open-source language model by auggie246. Features: 70.4b LLM, VRAM: 51.9GB, License: other, LLM Explorer Score: 0.31.

256k-context 4-bit Auto-round Autoround Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Conversational Endpoints compatible Fp8 Image-text-to-text Int4 Qwen3.8 Qwen4 exp Region:us Safetensors Sharded Speculative-decoding Swift Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/auggie246/Swift-1.5-Qwen3.8-Flash-Next-W4A16-FP8PLE

Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE Parameters and Internals

LLM Name	Swift 1.5 Qwen3.8 Flash Next W4A16 FP8PLE
Repository 🤗	https://huggingface.co/auggie246/Swift-1.5-Qwen3.8-Flash-Next-W4A16-FP8PLE
Base Model(s)	ukisai/Swift-1.5-Qwen3.8-Flash-Next-W4A16-AutoRound RadixArk/Qwen3.8-Flash-Next-NVFP4 Qwen/Qwen3.8-Flash-Next ukisai/Swift-1.5-Qwen3.8-Flash-Next-W4A16-AutoRound RadixArk/Qwen3.8-Flash-Next-NVFP4 Qwen/Qwen3.8-Flash-Next
Model Size	70.4b
Required VRAM	51.9 GB
Updated	2026-10-01
Maintainer	auggie246
Model Type	qwen4_exp
Model Files	1.4 GB: 1-of-81 1.4 GB: 2-of-81 0.1 GB: 34-of-81 1.4 GB: 35-of-81 1.4 GB: 36-of-81 1.4 GB: 37-of-81 1.4 GB: 38-of-81 1.4 GB: 39-of-81 1.4 GB: 40-of-81 1.4 GB: 41-of-81 1.4 GB: 42-of-81 1.4 GB: 43-of-81 1.4 GB: 44-of-81 1.4 GB: 45-of-81 1.4 GB: 46-of-81 1.4 GB: 47-of-81 1.4 GB: 48-of-81 1.4 GB: 49-of-81 1.4 GB: 50-of-81 1.4 GB: 51-of-81 1.4 GB: 52-of-81 1.4 GB: 53-of-81 1.4 GB: 54-of-81 1.4 GB: 55-of-81 1.4 GB: 56-of-81 1.4 GB: 57-of-81 1.4 GB: 58-of-81 1.4 GB: 59-of-81 1.4 GB: 60-of-81 1.4 GB: 61-of-81 1.4 GB: 62-of-81 1.4 GB: 63-of-81 1.4 GB: 64-of-81 1.4 GB: 65-of-81 1.4 GB: 66-of-81 1.4 GB: 67-of-81 1.4 GB: 68-of-81 1.4 GB: 69-of-81
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.16.1

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