Published by TokForge for on-device inference. Runs on-device in the TokForge app. MNN-format 4-bit quantization of the Heretic-abliterated Qwen3.6-35B-A3B multimodal MoE, packaged for the TokForge Android MNN-fork runtime. - config.json: MNN LLM geometry (modeltype qwen35moe, jinja chat template, MRoPE, vision offsets) - llmconfig.json: backend defaults (cpu, threadnum=4, precision=low, memory=low) - llm.mnn / llm.mnn.weight: quantized MNN graph + external weight blob (Q4, block 64, HQQ) - embeddingsbf16.bin: BF16 embedding table (separated from quantized weights via --seperateembed) - tokenizer.mtok: MNN binary tokenizer - visual.mnn / visual.mnn.weight: vision transformer (DeepStack VLM)…
Independent publisher
Isaac Maple
darkmaniac7
Edge & Mobile Inference and Models as well as converting models for Mobile
Models in Library2
Datasets in Library0
Models on Hugging Face98
Followers16
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Published tasks: Image and text to text, Text generation.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
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Models
Published by TokForge for on-device inference. Runs on-device in the TokForge app. Bonsai 2 27B ternary, Abliterated. Prism ML's ternary Bonsai 2 27B in the PQ20 packing, with an MTP head, as abliterated by BoldingBuilds in their v2 release. This repo is an unmodified copy of that file, published so TokForge can pin it. - Needs TokForge 1.3.9.1 or newer and a phone with 16 GB of RAM or more. - Download the file from this page and import it in TokForge. - TokForge uses the MTP head on the CPU route only, and only on phones where its own check with and without the head measures a gain; elsewhere the file runs as a plain model. BoldingBuilds' own description and measurements of the edit are on…