MODEL PROFILE

Anima-base-v1.0-GGUF

Abiray · Anima-base-v1.0-GGUF

This repository contains GGUF weights for Anima-base-v1.0, a 2B parameter diffusion model based on the **NVIDIA Cosmos** architecture. These weights have been quantized using a specialized pipeline to ensure maximum compatibility and image quality on consumer hardware. To ensure the highest possible quality and avoid the "BF16 noise bug" common in diffusion quantization, the following steps were taken: 1. **FP32 Casting:** The original BF16 `safetensors` were cast to `FP32` before conversion. 2. **Architecture Patching:** Used a patched version of `llama.cpp` (based on build `b3962`) with the `city96` diffusion patch to support the `cosmos` architecture. 3. **Precision Preservation:** Sensitive layers (normalizations and biases) were kept in `F32` to prevent color banding and generation artifacts.

Image generationlicense:other
Context windowNot disclosed
Input → OutputText → Image
Model weightsNot verified
Profile updated2026/10/31 12:14:33
OVERVIEW

Model overview

This repository contains GGUF weights for Anima-base-v1.0, a 2B parameter diffusion model based on the **NVIDIA Cosmos** architecture. These weights have been quantized using a specialized pipeline to ensure maximum compatibility and image quality on consumer hardware. To ensure the highest possible quality and avoid the "BF16 noise bug" common in diffusion quantization, the following steps were taken: 1. **FP32 Casting:** The original BF16 `safetensors` were cast to `FP32` before conversion. 2. **Architecture Patching:** Used a patched version of `llama.cpp` (based on build `b3962`) with the `city96` diffusion patch to support the `cosmos` architecture. 3. **Precision Preservation:** Sensitive layers (normalizations and biases) were kept in `F32` to prevent color banding and generation artifacts.

Key features

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Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

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