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@@ -3,16 +3,17 @@ base_model:
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  - lodestones/Chroma1-HD
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  ---
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- **An FP8 scaled version of Chroma1 HD's latest, revised version (rev-0.1).**
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- Just used Clybius' [conversion scripts from their GitHub repo](https://github.com/Clybius/Learned-Rounding) to create those 2 versions:
 
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  - Chroma1-HD_float8_e4m3fn_scaled_learned_svd
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  - Chroma1-HD_float8_e4m3fn_scaled_learned_svd_fast
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  *Note: I'm not sure why but HF has automatically categorized my version as a finetune for Chroma1 HD which it isn't. Just a scaled version.*
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- **Info:**
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  I strongly suggest you download Clybius version if it's available [somewhere in their HF repo](https://huggingface.co/Clybius/models).
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  I'll actually remove those here once they upload their own fp8 versions, as I always use theirs.
@@ -20,7 +21,7 @@ It just happened that I wanted to try this new revised Chroma1 HD version 0.1, a
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  Needless to say all credit goes to **[lodestones](https://huggingface.co/lodestones)** for the amazing model and to **[Clybius](https://huggingface.co/Clybius/models)** for their scaled versions.
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- **FAQ:**
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  - *Do I have any clue whatsoever regarding optimal parameters or other refinements for the conversion process?*
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  - lodestones/Chroma1-HD
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  ---
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+ ## Info
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+ An FP8 scaled version of **Chroma1 HD**'s latest, revised version (**rev-0.1**).
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+ Just used Clybius' [conversion scripts from their GitHub repo](https://github.com/Clybius/Learned-Rounding) to create these 2 versions:
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  - Chroma1-HD_float8_e4m3fn_scaled_learned_svd
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  - Chroma1-HD_float8_e4m3fn_scaled_learned_svd_fast
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  *Note: I'm not sure why but HF has automatically categorized my version as a finetune for Chroma1 HD which it isn't. Just a scaled version.*
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+ ## More Info
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  I strongly suggest you download Clybius version if it's available [somewhere in their HF repo](https://huggingface.co/Clybius/models).
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  I'll actually remove those here once they upload their own fp8 versions, as I always use theirs.
 
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  Needless to say all credit goes to **[lodestones](https://huggingface.co/lodestones)** for the amazing model and to **[Clybius](https://huggingface.co/Clybius/models)** for their scaled versions.
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+ ## Some More Info
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  - *Do I have any clue whatsoever regarding optimal parameters or other refinements for the conversion process?*
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