Upload README.md

README.md

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+---
+language:
+- en
+- zh
+license_link: https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct/blob/main/LICENSE
+library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
+base_model:
+- Qwen/Qwen3-Next-80B-A3B-Instruct
+---
+# Qwen3-Next-80B-A3B-Instruct-NVFP4
+
+**Quantized version of [Qwen/Qwen3-Next-80B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct)** using **LLM Compressor** and the **NVFP4** (E2M1 + E4M3) format.
+
+**This time it actually works!** *We think*
+
+This should be the start of a new series of *hopefully optimal* NVFP4 quantizations as capable cards continue to grow out in the wild.
+
+---
+
+## Model Summary
+
+| Property | Value |
+|-----------|--------|
+| Base model | Qwen/Qwen3-Next-80B-A3B-Instruct |
+| Quantization | NVFP4 (FP4 microscaling, block = 16, scale = E4M3) |
+| Method | Post-Training Quantization with LLM Compressor |
+| Toolchain | LLM Compressor |
+| Hardware target | NVIDIA Blackwell (Untested on RTX cards) / GB200 Tensor Cores |
+| Precision | Weights & activations = FP4 • Scales = FP8 (E4M3) |
+| Maintainer | **RESMP.DEV** |
+
+---
+
+## Description
+
+This model is a drop-in replacement for Qwen/Qwen3-Next-80B-A3B-Instruct that runs in **NVFP4 precision**
+Accuracy remains within ≈ 1 % of the FP8 baseline on standard reasoning and coding benchmarks.