LocalFit

moondream3-preview

moondream/moondream3-preview

ReleasedRelease date unknownSize9.3B tensors · denseRoleAssistantLicenseunknownContextunknown

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

SetupBest planMemoryGenerate
8 GB GPU + 32 GB RAMnative BF16vLLMGPU streams weights from RAM · 11 GiB in RAMKV unknown≤ 2.6 t/s Ceiling
12 GB GPU + 32 GB RAMnative BF16vLLMGPU streams weights from RAM · 7 GiB in RAMKV unknown≤ 3.8 t/s Ceiling
16 GB GPU + 64 GB RAMnative BF16vLLMGPU streams weights from RAM · 3 GiB in RAMKV unknown≤ 9.0 t/s Ceiling
24 GB GPU + 64 GB RAMnative BF16vLLMFull GPUKV unknown≤ 54 t/s Ceiling
32 GB GPU + 128 GB RAMnative BF16vLLMFull GPUKV unknown≤ 97 t/s Ceiling
2× 24 GB GPUs + 128 GB RAMnative BF16vLLMFull GPUKV unknown≤ 50 t/s Ceiling
96 GB workstation GPU + 256 GB RAMnative BF16vLLMFull GPUKV unknown≤ 97 t/s Ceiling
Mac, 24 GBMLX 8-bitMLX-LMUnified memoryKV unknown~23–24 t/s Estimated
Mac, 48 GBMLX 8-bitMLX-LMUnified memoryKV unknown~23–24 t/s Estimated
Mac, 128 GBMLX 8-bitMLX-LMUnified memoryKV unknown~43–51 t/s Estimated
Mac, 512 GBMLX 8-bitMLX-LMUnified memoryKV unknown~51–73 t/s Estimated
DGX Spark 128 GBnative BF16vLLMUnified memoryKV unknown≤ 15 t/s Ceiling
Ryzen AI Max+ 395, 128 GBnative BF16vLLMUnified memoryKV unknown≤ 14 t/s Ceiling
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
MLX 8-bit 8-bit
beshkenadze/moondream3-preview-mlx-8bit
9.29 GiB25d9934458cHF files
MLX 4-bit 4-bit
beshkenadze/moondream3-preview-mlx-4bit
5.05 GiB2a49db27f5dHF files
Native safetensors BF16
moondream/moondream3-preview
17.26 GiB45112966d1aHF files

Not found in the representative quant search (not proven unavailable): GGUF FP16, GGUF Q8_0, GGUF Q5_K_M, GGUF Q4_K_M, 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.