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Sawfwair/MiniMax-H3-FL2VA-MLX-4bit
MiniMax-H3-FL2VA-MLX-4bit is a text-to-video model from Sawfwair. Use it when you need video from a text prompt. It is set up for mlx. The card lists the license as other.
This is a compact, native-MLX FL2VA inference package for mere.run. It generates synchronized 24 fps video and 32 kHz stereo audio from text, a first frame, or directed first/last frames on Apple Silicon.
Downloads · 30 days
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From the Hugging Face model README
This is a compact, native-MLX FL2VA inference package for
mere.run. It generates synchronized
24 fps video and 32 kHz stereo audio from text, a first frame, or directed
first/last frames on Apple Silicon.
These model files are governed by the included MiniMax-H3 Community License
Agreement, not the mere.run source-code license. The license excludes use,
distribution, and display in the United States, European Union, United
Kingdom, and Republic of Korea and imposes downstream notice, modification,
safety, and distribution obligations. Read LICENSE,
NOTICE, and MODIFICATIONS.md before download,
use, or redistribution.
By downloading, accessing, reproducing, or using these files, you acknowledge and accept the MiniMax-H3 Community License Agreement and agree to comply with it. The agreement does not authorize use, distribution, or display in the United States, European Union, United Kingdom, or Republic of Korea.
Every tensor input came directly from the public official checkpoint:
MiniMaxAI/MiniMax-H3@ec19cc6daf5d8add9417c18e86b6b58cc6c55027
No converted or quantized third-party weights were used. The release was built
with scripts/model-conversion/convert_minimax_h3_official_mlx.py from the
mere.run repository in a declared Canadian conversion location. The converter
verifies all 144.04 GB of official source files, checks the exact upstream
license bytes, and requires MLX's CUDA Q4/Q8 packing to match byte-level
fixtures captured on Apple Silicon before conversion.
Audit files:
SOURCE_MANIFEST.json: byte count and SHA-256 for
every official source file;transformer.conversion.json: converter,
software, hardware, location, quantizer self-test, transforms, output sizes,
and output hashes;SHA256SUMS: SHA-256 for every distributed runtime and legal
file.[q,k,v] row interleave into the official reference model's global
[all-q; all-k; all-v] layout required by the native runtime;No weights were retrained, distilled, merged, or used as input from another quantized repository.
mere.run model pull video-minimax-h3-fl2va-mlx --accept-model-license
mere.run video generate \
"a jeweled hummingbird hovering beside a red orchid, cinematic natural light" \
--model video-minimax-h3-fl2va-mlx \
--width 512 \
--height 512 \
--num-frames 56 \
--seed 314159 \
--output hummingbird.mp4
The managed package already contains its source-bound AdaLN cache; no
post-download model optimize pass is required. Inference runs locally through
native Swift/MLX. Python and CUDA are release-conversion tools only.
The complete 14-file managed bundle passed the fail-closed validator at 46,250,104,566 bytes. Anonymous Hub verification then matched the exact remote file set, public/ungated state, every LFS SHA-256 and size, every small-file hash, and the first and last 1 MiB of each large tensor.
A full-schedule generation was run locally on an Apple M4 Max with 128 GB of
unified memory using the optimized arm64 release executable (SHA-256
042c25e023dddb71bb9fa44db0cca505dc4fe2115bcb17fd86a81953cebe4614):
mere.run video generate \
"a jeweled hummingbird hovering beside a red orchid, cinematic natural light" \
--model-root ./MiniMax-H3-FL2VA-MLX-4bit \
--width 512 \
--height 512 \
--num-frames 56 \
--fps 24 \
--seed 314159 \
--steps 31 \
--h3-weight-mode quantized \
--output hummingbird.mp4
08259a8c1a37a4947f3d8a3b329c63df59f6056a16698f595a817aeb2aaa0c6f;b6ac18a30fa35a1bfd67e9c8d265996a03e0447571ac32f369a83e29f76158dd.Play the validated MP4 or inspect the six-frame contact sheet.