LocalFit

OProver-8B Specialist

m-a-p/OProver-8B

ReleasedRelease date unknownSize8.2B tensors · denseRoleSpecialistLicenseapache-2.0Context40K config max

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

SetupBest planMemoryGenerate
8 GB GPU + 32 GB RAMQ4_K_Mllama.cpp CUDAFull GPUFits~29–42 t/s Estimated
12 GB GPU + 32 GB RAMQ8_0llama.cpp CUDAFull GPUFits~30–32 t/s Estimated
16 GB GPU + 64 GB RAMQ8_0llama.cpp CUDAFull GPUFits~61–75 t/s Estimated
24 GB GPU + 64 GB RAMFP16llama.cpp CUDAFull GPUFits~34–43 t/s Estimated
32 GB GPU + 128 GB RAMFP16llama.cpp CUDAFull GPUFits~53–85 t/s Estimated
2× 24 GB GPUs + 128 GB RAMFP16llama.cpp CUDAFull GPUFits~31–40 t/s Estimated
96 GB workstation GPU + 256 GB RAMFP16llama.cpp CUDAFull GPUFits~55–86 t/s Estimated
Mac, 24 GBFP16llama.cpp MetalUnified memoryFits~11–14 t/s Estimated
Mac, 48 GBFP16llama.cpp MetalUnified memoryFits~11–14 t/s Estimated
Mac, 128 GBFP16llama.cpp MetalUnified memoryFits~19–28 t/s Estimated
Mac, 512 GBFP16llama.cpp MetalUnified memoryFits~21–32 t/s Estimated
DGX Spark 128 GBFP16llama.cpp CUDAUnified memoryFits~12–14 t/s Estimated
Ryzen AI Max+ 395, 128 GBFP16llama.cpp VulkanUnified memoryFits~8.2–12 t/s Estimated
CPU only, 64 GB DDR5-5600 dual channelQ4_K_Mllama.cpp CPUCPU onlyFits~3.6–4.3 t/s Estimated extrapolated

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

Files exact Hugging Face bytes

ArtifactSizeFilesRevisionSource
FP16
mradermacher/OProver-8B-GGUF
15.26 GiB1be534ee48fHF files
Q8_0
mradermacher/OProver-8B-GGUF
8.11 GiB1be534ee48fHF files
Q5_K_M
mradermacher/OProver-8B-GGUF
5.45 GiB1be534ee48fHF files
Q4_K_M
mradermacher/OProver-8B-GGUF
4.68 GiB1be534ee48fHF files
Native safetensors BF16
m-a-p/OProver-8B
15.26 GiB4cd9ffd383bHF files

Not found in the representative quant search (not proven unavailable): 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.