Qwen3.8-Flash-Next VRAM Requirements
Developed by Alibaba Cloud (Qwen)
Find out exactly how much VRAM you need to run Qwen3.8-Flash-Next locally. Calculate the memory footprint of different GGUF quantization variants (like Q4_K_M or Q8_0), estimate your context length KV cache VRAM footprint, and determine if your hardware supports a full GPU VRAM offload or if you will need to rely on slow partial CPU offloading to avoid a CUDA Out of Memory (OOM) error.
Hardware Configuration
Adjust settings to check compatibility with your system in real time.
Available: 14.50 GB
Available: 29.00 GB
This configuration exceeds your system's usable memory capacity. Attempting to run it will cause crashes or freeze your machine.
Requires 118.01 GB total memory (weights: 84.18 GB, context overhead: 0.26 GB, activation overhead: 6.76 GB).
Qwen3.8-Flash-Next Quantization Formats & VRAM Compatibility
Select a format to set it as active and calculate your system fit dynamically.
| Quant | Core Weights | N-Gram Embedding | KV Cache | Overhead | Total Memory | Status | Links |
|---|---|---|---|---|---|---|---|
| Base (Unquantized) | 225.28 GB | 102.00 GB | 0.26 GB | 18.04 GB | 345.58 GB | Too Large | HF weights |
| UD-Q4_K_XL | 84.18 GB | 26.82 GB | 0.26 GB | 6.76 GB | 118.01 GB | Too Large | GGUF |
| UD-Q2_K_XL | 52.08 GB | 26.82 GB | 0.26 GB | 4.19 GB | 83.34 GB | Too Large | GGUF |
| UD-IQ1_M | 47.68 GB | 26.82 GB | 0.26 GB | 3.84 GB | 78.59 GB | Too Large | GGUF |
Qwen3.8-Flash-Next KV Cache Memory Breakdown
How to Setup and Run Qwen3.8-Flash-Next Locally
Method A: Ollama (Recommended)
Ollama is the easiest way to run models in the background. First, download it from ollama.com, then execute this terminal command:
ollama run <model-name>Method B: LM Studio (GUI)
If you prefer a full graphical interface with chat UI and local server hosting:
- Download and install LM Studio.
- Search for Qwen3.8-Flash-Next in the home page search tab.
- Select a quantization level (like Q4_K_M) that fits your VRAM, click download, and load it to chat.
Model Specs
- DeveloperAlibaba Cloud (Qwen)
- Parameter Count180B
- Base File Size335.3 GB
- AvailabilityLocal-Only
- Input ModalitiesTextImageVideo
Standard Benchmark Scores
Commercial API Pricing
This model is self-hosted only or official API pricing is not available.
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