LocalFit

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

SetupBest planMemoryGenerate
8 GB GPU + 32 GB RAMnative BF16vLLMGPU streams weights from RAM · 17 GiB in RAMKV unknownUnknown
12 GB GPU + 32 GB RAMQ5_K_Mllama.cpp CUDAFull GPUKV unknownUnknown
16 GB GPU + 64 GB RAMQ8_0llama.cpp CUDAFull GPUKV unknownUnknown
24 GB GPU + 64 GB RAMQ8_0llama.cpp CUDAFull GPUKV unknownUnknown
32 GB GPU + 128 GB RAMnative BF16vLLMFull GPUKV unknownUnknown
2× 24 GB GPUs + 128 GB RAMnative BF16vLLMTensor split across GPUsKV unknownUnknown
96 GB workstation GPU + 256 GB RAMnative BF16vLLMFull GPUKV unknownUnknown
Mac, 24 GBQ8_0llama.cpp MetalUnified memoryKV unknownUnknown
Mac, 48 GBQ8_0llama.cpp MetalUnified memoryKV unknownUnknown
Mac, 128 GBQ8_0llama.cpp MetalUnified memoryKV unknownUnknown
Mac, 512 GBQ8_0llama.cpp MetalUnified memoryKV unknownUnknown
DGX Spark 128 GBnative BF16vLLMUnified memoryKV unknownUnknown
Ryzen AI Max+ 395, 128 GBnative BF16vLLMUnified memoryKV unknownUnknown
CPU only, 64 GB DDR5-5600 dual channelQ8_0llama.cpp CPUCPU onlyKV unknownUnknown

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

Files exact Hugging Face bytes

ArtifactSizeFilesRevisionSource
Q8_0
DevQuasar/nvidia.Nemotron-Elastic-12B-GGUF
12.19 GiB107119dd37cHF files
Q5_K_M
DevQuasar/nvidia.Nemotron-Elastic-12B-GGUF
8.16 GiB107119dd37cHF files
Q4_K_M
DevQuasar/nvidia.Nemotron-Elastic-12B-GGUF
6.98 GiB107119dd37cHF files
Native safetensors BF16
nvidia/Nemotron-Elastic-12B
22.93 GiB6345f0feea1HF 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.