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Update tier claim: 16 GB-class Macs

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  1. README.md +4 -4
README.md CHANGED
@@ -21,7 +21,7 @@ pipeline_tag: text-to-video
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  The entry-tier FastMetal model — a DMD2-distilled 1.3B Wan video model with
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  a quantization-aware-trained INT8 DiT. Pre-quantized: no startup
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- quantization, tiny download, runs on 8 GB-class Macs.
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  ## What's inside
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@@ -66,6 +66,6 @@ group 64). Training corpus: `FastVideo/Wan-Syn_77x448x832_600k`.
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  | Model | Tier |
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  |---|---|
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- | [FastMetal-1.3B-QAD](https://huggingface.co/FastVideo/FastMetal-1.3B-QAD) | Entry — 16 GB+ class Macs |
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- | [FastMetal-5B-QAD] | Mid — 720p | 16 GB+ class Macs |
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- | [FastMetal-14B-QAD](https://huggingface.co/FastVideo/FastMetal-14B-QAD) | Quality — 24 GB+/ Ideally 36 Macs |
 
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  The entry-tier FastMetal model — a DMD2-distilled 1.3B Wan video model with
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  a quantization-aware-trained INT8 DiT. Pre-quantized: no startup
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+ quantization, tiny download, runs on 16 GB-class Macs.
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  ## What's inside
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  | Model | Tier |
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  |---|---|
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+ | **FastMetal-1.3B-QAD** | Entry — 16 GB+ Macs |
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+ | [FastMetal-5B-QAD](https://huggingface.co/FastVideo/FastMetal-5B-QAD) | Mid — 720p |
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+ | [FastMetal-14B-QAD](https://huggingface.co/FastVideo/FastMetal-14B-QAD) | Quality — 16 GB+ Macs |