LocalFit

NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16

nvidia/NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16

Released2026-05-07Size32B tensors · MoERoleAssistantLicensenvidia-open-model-licenseContext256K config max

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

SetupBest planMemoryGenerate
8 GB GPU + 32 GB RAMQ5_K_Mllama.cpp CUDAGPU + CPU layers · 13/52 layers on GPUFits*Unknown
12 GB GPU + 32 GB RAMQ8_0llama.cpp CUDAGPU + CPU layers · 17/52 layers on GPUFits*Unknown
16 GB GPU + 64 GB RAMQ8_0llama.cpp CUDAGPU + CPU layers · 24/52 layers on GPUFits*Unknown
24 GB GPU + 64 GB RAMQ8_0llama.cpp CUDAGPU + CPU layers · 37/52 layers on GPUFits*Unknown
32 GB GPU + 128 GB RAMQ5_K_Mllama.cpp CUDAFull GPUFits*Unknown
2× 24 GB GPUs + 128 GB RAMQ8_0llama.cpp CUDALayer split across GPUsFits*Unknown
96 GB workstation GPU + 256 GB RAMnative F32/BF16vLLMFull GPUFits*Unknown
Mac, 24 GBDoes not fit
Mac, 48 GBQ8_0llama.cpp MetalUnified memoryFits*Unknown
Mac, 128 GBQ8_0llama.cpp MetalUnified memoryFits*Unknown
Mac, 512 GBQ8_0llama.cpp MetalUnified memoryFits*Unknown
DGX Spark 128 GBnative F32/BF16vLLMUnified memoryFits*Unknown
Ryzen AI Max+ 395, 128 GBnative F32/BF16vLLMUnified memoryFits*Unknown
CPU only, 64 GB DDR5-5600 dual channelQ8_0llama.cpp CPUCPU onlyFits*Unknown

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

Files exact Hugging Face bytes

ArtifactSizeFilesRevisionSource
Q8_0
mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16-GGUF
31.28 GiB13f8512f19dHF files
Q5_K_M
mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16-GGUF
24.25 GiB13f8512f19dHF files
Q4_K_M
mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16-GGUF
22.83 GiB13f8512f19dHF files
Native safetensors mixed/custom native; ; stored tensor dtypes=F32/BF16 · F32/B
nvidia/NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16
58.82 GiB134bcc432680HF files

Not found in the representative quant search (not proven unavailable): GGUF FP16, MLX 8-bit, MLX 4-bit, EXL3, AWQ, GPTQ. 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

Unknown

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.