LocalFit

ThinkingCap-Qwen3.6-27B CommunityGated

bottlecapai/ThinkingCap-Qwen3.6-27B

ReleasedRelease date unknownSize27B tensorsRoleCommunityLicenseapache-2.0Contextunknown

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 CPUCPU onlyKV unknownUnknown
16 GB GPU + 64 GB RAMnative BF16vLLMGPU streams weights from RAM · 37 GiB in RAMKV unknownUnknown
24 GB GPU + 64 GB RAMQ4_K_Mllama.cpp CUDAFull GPUKV unknownUnknown
32 GB GPU + 128 GB RAMQ8_0llama.cpp CUDAFull GPUKV unknownUnknown
2× 24 GB GPUs + 128 GB RAMQ8_0llama.cpp CUDALayer split across GPUsKV unknownUnknown
96 GB workstation GPU + 256 GB RAMFP16llama.cpp CUDAFull GPUKV unknownUnknown
Mac, 24 GBQ4_K_Mllama.cpp MetalUnified memoryKV unknownUnknown
Mac, 48 GBQ8_0llama.cpp MetalUnified memoryKV unknownUnknown
Mac, 128 GBFP16llama.cpp MetalUnified memoryKV unknownUnknown
Mac, 512 GBFP16llama.cpp MetalUnified memoryKV unknownUnknown
DGX Spark 128 GBFP16llama.cpp CUDAUnified memoryKV unknownUnknown
Ryzen AI Max+ 395, 128 GBFP16llama.cpp VulkanUnified memoryKV unknownUnknown
CPU only, 64 GB DDR5-5600 dual channelFP16llama.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
FP16
bottlecapai/ThinkingCap-Qwen3.6-27B-GGUF
50.90 GiB18eb6e82190HF files
Q8_0
bottlecapai/ThinkingCap-Qwen3.6-27B-GGUF
27.05 GiB18eb6e82190HF files
Q4_K_M
bottlecapai/ThinkingCap-Qwen3.6-27B-GGUF
15.66 GiB18eb6e82190HF files
Native safetensors BF16
bottlecapai/ThinkingCap-Qwen3.6-27B
50.96 GiB2b66c34e5b5HF files

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