What are the hardware requirements for Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE?

Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE requires approximately 55.9 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 Attn8 FP8PLE and how large is it?

Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE is developed by todiadiyatmo, a model with 71.1b 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 Attn8 FP8PLE?

Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 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 Attn8 FP8PLE by todiadiyatmo — VRAM 55.9GB

Name: Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE
Author: todiadiyatmo

Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE is an open-source language model by todiadiyatmo. Features: 71.1b LLM, VRAM: 55.9GB, License: other, LLM Explorer Score: 0.27.

4-bit Auto-round Autoround Base model:quantized:ukisai/sw... Base model:ukisai/swift-1.5-qw... Conversational Fp8 Image-text-to-text Int4 Int8 Mixed-precision Mtp Qwen3.8 Qwen4 exp Region:us Safetensors Sharded Swift Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/todiadiyatmo/Swift-1.5-Qwen3.8-Flash-Next-W4A16-Attn8-FP8PLE

Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE Parameters and Internals

LLM Name	Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE
Repository 🤗	https://huggingface.co/todiadiyatmo/Swift-1.5-Qwen3.8-Flash-Next-W4A16-Attn8-FP8PLE
Base Model(s)	ukisai/Swift-1.5-Qwen3.8-Flash-Next-W4A16-AutoRound ukisai/Swift-1.5-Qwen3.8-Flash-Next-W4A16-AutoRound
Model Size	71.1b
Required VRAM	55.9 GB
Updated	2026-10-02
Maintainer	todiadiyatmo
Model Type	qwen4_exp
Model Files	2.7 GB: 1-of-1 0.1 GB 1.4 GB: 1-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 1.4 GB: 70-of-81 1.4 GB: 71-of-81
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.16.1

Rank the Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE capabilities

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Best Alternatives to Swift 1.5 Qwen3.8 Flash Next W4A16 Attn8 FP8PLE

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... Uncensored W4A16 Attn8 FP8PLE	0K / 58.9 GB	236	2

Note: green Score (e.g. "73.2") means that the model is better than todiadiyatmo/Swift-1.5-Qwen3.8-Flash-Next-W4A16-Attn8-FP8PLE.