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Notice

HexAnima MOSS-Image packs. These files are converted and quantised derivatives of the open models listed below. Every component is licensed under the Apache License 2.0 (see LICENSE). HexAnima is an independent, unofficial project. It is not affiliated with, endorsed by or sponsored by OpenMOSS, Unsloth, the Qwen team / Alibaba, Black Forest Labs, Qualcomm or the other authors named here.

Components

What Files in this pack Original Author License
MOSS-Image-SFT (5.1B text-to-image transformer) dit/blk00.bin … dit/blk41.bin, glue.bin https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT (GGUF quantisation by Unsloth: https://huggingface.co/unsloth/MOSS-Image-SFT-GGUF, file MOSS-Image-SFT-UD-Q5_K_XL.gguf) OpenMOSS; quantisation Unsloth AI Apache-2.0
rapid-moss 4-step adapter (rank-128 LoRA, time path and sampler matrix) LoRA weights inside dit/blk*.bin, glue.bin (latent_mix.Q, step_codes, time embedding, biases) https://huggingface.co/darask0/MOSS-Image_4-step_adapter_lora (continues https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd) darask0, lodestones Apache-2.0
Qwen3.5-9B (text encoder) te/te00.bin … te32.bin, embd.q4k, ref/*.bin (text projection and refiner blocks come from MOSS-Image-SFT) https://huggingface.co/Qwen/Qwen3.5-9B (GGUF quantisation by Unsloth: https://huggingface.co/unsloth/Qwen3.5-9B-GGUF, file Qwen3.5-9B-UD-Q4_K_XL.gguf) Qwen team, Alibaba Cloud; quantisation Unsloth AI Apache-2.0
Qwen tokenizer tok_vocab.txt, tok_merges.txt, tok_special.txt tokenizer.json of https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT Qwen team Apache-2.0
FLUX.2 small decoder (VAE decoder) and its batch-norm statistics vae/vae_<W>x<H>.bin, glue.bin (bn.mean, bn.var) https://huggingface.co/black-forest-labs/FLUX.2-small-decoder Black Forest Labs Apache-2.0

Changes made to the original works

  • The Unsloth GGUF files were dequantised and re-packed into 32x32 tiles for the Hexagon matrix unit: 8-bit blocks with one fp16 scale per column and 32 weights, or (Q4_K tensors of the text encoder only) a lossless 4-bit affine form. K-quant groups of 32 are kept; Q5_K / Q6_K / Q8_0 / IQ4_XS tensors are stored as 8-bit blocks.
  • The rapid-moss LoRA is not merged into the weights (its delta is smaller than bf16 rounding); its two matrices are stored next to every projection and applied as extra input tiles.
  • The FLUX.2 small decoder was converted to a Qualcomm HTP (V69, fp16) context binary for fixed image sizes.
  • The weights are not usable with any other software.

No other changes were made to the models. The licenses and copyright notices of the original works apply to these derivatives; see LICENSE.