LocalFit

Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced Community

HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced

ReleasedRelease date unknownSizearchitecture unknownRoleCommunityLicensegemmaContextunknown

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

SetupBest planMemoryGenerate
8 GB GPU + 32 GB RAMQ4_K_Mllama.cpp CPUCPU onlyKV unknownUnknown
12 GB GPU + 32 GB RAMQ4_K_Mllama.cpp CUDAFull GPUKV unknownUnknown
16 GB GPU + 64 GB RAMQ4_K_Mllama.cpp CUDAFull GPUKV unknownUnknown
24 GB GPU + 64 GB RAMQ4_K_Mllama.cpp CUDAFull GPUKV unknownUnknown
32 GB GPU + 128 GB RAMQ4_K_Mllama.cpp CUDAFull GPUKV unknownUnknown
2× 24 GB GPUs + 128 GB RAMQ4_K_Mllama.cpp CUDAFull GPUKV unknownUnknown
96 GB workstation GPU + 256 GB RAMQ4_K_Mllama.cpp CUDAFull GPUKV unknownUnknown
Mac, 24 GBQ4_K_Mllama.cpp MetalUnified memoryKV unknownUnknown
Mac, 48 GBQ4_K_Mllama.cpp MetalUnified memoryKV unknownUnknown
Mac, 128 GBQ4_K_Mllama.cpp MetalUnified memoryKV unknownUnknown
Mac, 512 GBQ4_K_Mllama.cpp MetalUnified memoryKV unknownUnknown
DGX Spark 128 GBQ4_K_Mllama.cpp CUDAUnified memoryKV unknownUnknown
Ryzen AI Max+ 395, 128 GBQ4_K_Mllama.cpp VulkanUnified memoryKV unknownUnknown
CPU only, 64 GB DDR5-5600 dual channelQ4_K_Mllama.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
Q4_K_M
HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced
6.87 GiB1ae8045ac2bHF files
Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-Q4_K_M native GGUF option
HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced
6.87 GiB1ae8045ac2bHF files

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