llamaperf

Qwen3.5 4B NuExtract3

on 8× NVIDIA H100 80GB

Tone: positiveNVIDIA hardware
May 25, 2026
VRAM reported
80 GB

Use cases

visionsummarization

Summary

User reports a model based on Qwen3.5-4B, trained on 8xH100 for 3 days. It supports Safetensors, GGUF and MLX weights, requires as little as 4GB VRAM, and is available in GPTQ, W8A8, FP8, Q4 and Q6 quantizations. It has been tested with vLLM, SGLang and llama.cpp.