FITMYLLM · NOVEMBER 4, 2026 · OPEN METHODOLOGY · COMMUNITY BENCHMARKS
LIVE · UPDATED DAILY
779.96B
Parameters (49B active)
Quantization Options Select your GPU for speed estimates Context length: 4K 8K 16K 32K 64K 128K 256K 512K 1M
Quant Bits VRAM @ 16K Quality IQ2_XXS 2.38 233.6 GB
232.5 + 1.0 KV
low IQ2_M 2.93 287.2 GB
286.1 + 1.0 KV
low Q2_K 3.16 309.6 GB
308.6 + 1.0 KV
low IQ3_XXS 3.25 318.4 GB
317.3 + 1.0 KV
low IQ3_XS 3.5 342.7 GB
341.7 + 1.0 KV
low Q3_K_S 3.64 356.4 GB
355.4 + 1.0 KV
low IQ3_M 3.76 368.1 GB
367.1 + 1.0 KV
low Q3_K_M 4 391.5 GB
390.5 + 1.0 KV
low Q3_K_L 4.3 420.7 GB
419.7 + 1.0 KV
moderate IQ4_XS 4.46 436.3 GB
435.3 + 1.0 KV
moderate Q4_K_S 4.67 456.8 GB
455.8 + 1.0 KV
moderate Q4_K_M 4.89 478.3 GB
477.2 + 1.0 KV
good Q5_K_S 5.57 544.6 GB
543.5 + 1.0 KV
good Q5_K_M 5.7 557.2 GB
556.2 + 1.0 KV
good Q6_K 6.56 641.1 GB
640.1 + 1.0 KV
excellent Q8_0 8.5 830.2 GB
829.2 + 1.0 KV
lossless FP16 16 1561.4 GB
1560.4 + 1.0 KV
lossless
Select your GPU above to see speed estimates and compatibility for each quantization.
Too big for a single GPU — plan a multi-GPU deployment
Even the lightest quant needs ~234 GB. Size GPUs, replicas, TCO and scaling for a production setup. Open in Enterprise →
▸ READY TO RUN THIS? RENT BY THE HOUR
RENT A GPU AND RUN HUNYUAN HY4-PREVIEW NOW
Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.
Community Ratings Chat Coding Reasoning Creative Vision Roleplay Agentic
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Run this model IQ2_XXS — 232.5 GB VRAM IQ2_M — 286.1 GB VRAM Q2_K — 308.6 GB VRAM IQ3_XXS — 317.3 GB VRAM IQ3_XS — 341.7 GB VRAM Q3_K_S — 355.4 GB VRAM IQ3_M — 367.1 GB VRAM Q3_K_M — 390.5 GB VRAM Q3_K_L — 419.7 GB VRAM IQ4_XS — 435.3 GB VRAM Q4_K_S — 455.8 GB VRAM Q4_K_M — 477.2 GB VRAM Q5_K_S — 543.5 GB VRAM Q5_K_M — 556.2 GB VRAM Q6_K — 640.1 GB VRAM Q8_0 — 829.2 GB VRAM FP16 — 1560.4 GB VRAM
Ollama llama.cpp vLLM LM Studio KoboldCpp Jan Docker
▸ Easiest way to get started · Beginners
DOCS ↗ curl -fsSL https://ollama.com/install.sh | shCOPY
$ ollama run hunyuan:780b-q4_K_MCOPY
Tag may need adjustment — check ollama.com/library/hunyuan for available tags.
▸ SETUP GUIDE >_
Auto-setup with fitmyllm CLI Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.
Auto-detect GPU Live tok/s in chat Speed benchmarks 9 inference engines
Find the best GPU for Hunyuan Hy4-preview
Build Hardware for Hunyuan Hy4-preview ▸ COLOPHON FITMYLLM · INDEPENDENT · DATA-DRIVEN
FITMYLLM · EST. 2025 · © 2026
RECOMMENDATIONS FROM PUBLISHED MATH, CORRECTED BY THE COMMUNITY — 30.
▸ SPEC SHEET
Hunyuan Hy4-preview — 779.96B MoE. ▸ SPECIFICATIONS
PARAMETERS 779.96B (49B active)
ARCHITECTURE Mixture of Experts
CONTEXT LENGTH 1024K tokens
CAPABILITIES chat, coding, reasoning, multilingual, math, agentic, tool_use
RELEASE DATE 2026-08-28
PROVIDER Tencent
FAMILY hunyuan ▸ VRAM REQUIREMENTS
QUANT BPW VRAM QUALITY IQ2_XXS 2.38 232.5 GB 65% IQ2_M 2.93 286.1 GB 75% Q2_K 3.16 308.6 GB 78% IQ3_XXS 3.25 317.3 GB 82% IQ3_XS 3.5 341.7 GB 84% Q3_K_S 3.64 355.4 GB 85% IQ3_M 3.76 367.1 GB 86% Q3_K_M 4 390.5 GB 88% Q3_K_L 4.3 419.7 GB 90% IQ4_XS 4.46 435.3 GB 92% Q4_K_S 4.67 455.8 GB 93% Q4_K_M 4.89 477.2 GB 94% Q5_K_S 5.57 543.5 GB 96% Q5_K_M 5.7 556.2 GB 96% Q6_K 6.56 640.1 GB 97% Q8_0 8.5 829.2 GB 100% FP16 16 1560.4 GB 100%
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