LocalFit

MiniMax-M2

MiniMaxAI/MiniMax-M2

ReleasedRelease date unknownSize230B MoE · 10B activeRoleAssistantLicensemodified-mitContext192K config max

Where it runs 8K context · ≥ 5 t/s floor

SetupBest planMemoryGenerate
8 GB GPU + 32 GB RAMNon-expert weights + KV cache (7.2 GiB) exceed the GPU memory left after reserves (6.5 GiB)
12 GB GPU + 32 GB RAMDoes not fit
16 GB GPU + 64 GB RAMDoes not fit
24 GB GPU + 64 GB RAMDoes not fit
32 GB GPU + 128 GB RAMAWQvLLMGPU streams weights from RAM · 84 GiB in RAMFits≤ 8.0 t/s Ceiling
2× 24 GB GPUs + 128 GB RAMQ4_K_Mllama.cpp CUDAGPU + CPU layers · 21/62 layers on GPUFits~4.7–5.7 t/s Estimated extrapolated
96 GB workstation GPU + 256 GB RAMQ4_K_Mllama.cpp CUDAGPU + CPU experts · 18 expert layers on CPUFits~17–29 t/s Estimated extrapolated
Mac, 24 GBDoes not fit
Mac, 48 GBDoes not fit
Mac, 128 GBDoes not fit
Mac, 512 GBMLX 8-bitMLX-LMUnified memoryFits~13–38 t/s Estimated
DGX Spark 128 GBDoes not fit
Ryzen AI Max+ 395, 128 GBDoes not fit
CPU only, 64 GB DDR5-5600 dual channelDoes not fit

Same plan engine as the planner, with its default reserves and RAM. How plans are chosen.

Files exact Hugging Face bytes

ArtifactSizeFilesRevisionSource
Q8_0
bartowski/MiniMaxAI_MiniMax-M2-GGUF
226 GiB7c11372ee54HF files
Q5_K_M
bartowski/MiniMaxAI_MiniMax-M2-GGUF
151 GiB5c11372ee54HF files
Q4_K_M
bartowski/MiniMaxAI_MiniMax-M2-GGUF
129 GiB4c11372ee54HF files
MLX 8-bit 8-bit
mlx-community/MiniMax-M2-8bit
226 GiB47273271278bHF files
MLX 4-bit 4-bit
mlx-community/MiniMax-M2-4bit
120 GiB27fb2e5d3952HF files
EXL3 4-bit
turboderp/MiniMax-M2-exl3
108 GiB16ddce85779cHF files
AWQ 4-bit
QuantTrio/MiniMax-M2-AWQ
113 GiB413f6771a80fHF files
GPTQ 4-bit
ModelCloud/MiniMax-M2-GPTQMODEL-W4A16
125 GiB321e1c096948HF files
Native safetensors mixed/custom native; quant_method=fp8; stored tensor dtypes=
MiniMaxAI/MiniMax-M2
214 GiB125757303d492HF files

Not found in the representative quant search (not proven unavailable): GGUF FP16. Complete selected file sets; projectors, MTP/draft and lookup files are listed separately and budgeted only by plans that use them. File bytes are not allocated memory.

Quality

No Artificial Analysis evaluation mapped to this checkpoint.

Arena text rating

1,340

CI 1332–1348 · 6,856 votes · published 2026-10-15 · dataset

Explicit name identity; exact hosted revision/local quant equivalence not verified

Publisher-reported benchmarks

None extracted from the model card.

AA and Arena describe the hosted model in the stated mode, not each quantized file; scores are never inherited by base, pruned, abliterated or quantized variants and never averaged together.

How to run it

No model-specific recipe in the research. The planner binds the backend’s documented command template (llama.cpp, Ollama, LM Studio, MLX, vLLM) to your plan: open a plan’s details.

Recipes are source examples (settings are the publisher’s or author’s, not measured optima) and were not executed by LocalFit. A downloadable file does not prove your backend build supports the architecture.

Reported speeds 0

No reported measurement yet. Submit one.