LocalFit

Baguettotron

PleIAs/Baguettotron

Released2025-11-10Size0.3B tensors · denseRoleAssistantLicenseapache-2.0Context4K config max

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

SetupBest planMemoryGenerate
8 GB GPU + 32 GB RAMContext 8K exceeds this model's configured maximum (4K)
12 GB GPU + 32 GB RAMContext 8K exceeds this model's configured maximum (4K)
16 GB GPU + 64 GB RAMContext 8K exceeds this model's configured maximum (4K)
24 GB GPU + 64 GB RAMContext 8K exceeds this model's configured maximum (4K)
32 GB GPU + 128 GB RAMContext 8K exceeds this model's configured maximum (4K)
2× 24 GB GPUs + 128 GB RAMContext 8K exceeds this model's configured maximum (4K)
96 GB workstation GPU + 256 GB RAMContext 8K exceeds this model's configured maximum (4K)
Mac, 24 GBContext 8K exceeds this model's configured maximum (4K)
Mac, 48 GBContext 8K exceeds this model's configured maximum (4K)
Mac, 128 GBContext 8K exceeds this model's configured maximum (4K)
Mac, 512 GBContext 8K exceeds this model's configured maximum (4K)
DGX Spark 128 GBContext 8K exceeds this model's configured maximum (4K)
Ryzen AI Max+ 395, 128 GBContext 8K exceeds this model's configured maximum (4K)
CPU only, 64 GB DDR5-5600 dual channelContext 8K exceeds this model's configured maximum (4K)

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

Files exact Hugging Face bytes

ArtifactSizeFilesRevisionSource
FP16
PleIAs/Baguettotron-GGUF
0.60 GiB1417add62dcHF files
Q8_0
PleIAs/Baguettotron-GGUF
0.32 GiB1417add62dcHF files
Q5_K_M
PleIAs/Baguettotron-GGUF
0.24 GiB1417add62dcHF files
Q4_K_M
PleIAs/Baguettotron-GGUF
0.22 GiB1417add62dcHF files
Native safetensors BF16
PleIAs/Baguettotron
0.60 GiB1504b4c11c8HF 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.