Can you run MiniMaxAI/MiniMax-M1-40k on RTX 4090 24GB?

No — MiniMaxAI/MiniMax-M1-40k needs ~986.28 GB, more than the 24 GB on RTX 4090 24GB. No hosted smaller quant is indexed yet.

Hugging Bay is intentionally crawlable for search engines, answer engines, user-requested AI fetches, frontier AI assistants, and open-source agents. Public pages describe verified open-source AI artifact metadata, provenance, licenses, community trust signals, and selective hosted mirrors with hashes. Hugging Bay does not bypass gated or restricted upstream access controls.

Machine-readable entrypoints: robots.txt, AI search guidance, well-known AI search JSON, AI citation packs, well-known AI citation JSON, llms.txt, llms-full.txt, AI crawler policy, AI bot allowlist, answer-engine manifest, agent manifest, OpenAPI, and indexing status.

No — MiniMaxAI/MiniMax-M1-40k needs ~986.28 GB, more than the 24 GB on RTX 4090 24GB. No hosted smaller quant is indexed yet.

Verdict across common GPUs

GPUVerdictVRAM
NVIDIA T4 16GB (free Colab)No16 GB
NVIDIA L4 24GBNo24 GB
RTX 3060 12GBNo12 GB
RTX 4080 16GBNo16 GB
RTX 3090 24GBNo24 GB
RTX 4090 24GBNo24 GB
A100 40GBNo40 GB
A100 80GBNo80 GB
H100 80GBNo80 GB
Apple M-series 16GB (unified)No16 GB
Apple M-series 32GB (unified)No32 GB
Apple M-series 64GB (unified)No64 GB
Apple M-series 128GB (unified)No128 GB
CPU / 32GB system RAMNo32 GB
CPU / 64GB system RAMNo64 GB

Next steps

  • Open MiniMaxAI/MiniMax-M1-40k on Hugging Bay — trust verdict, hosted files, reviews.
  • Machine-readable deployment plan (JSON)
  • Raw fit report (JSON)

Methodology: weights + KV-cache estimate from parameter count, quant precision, and declared context. Not a benchmark; runtimes differ. Data recomputed hourly.