Detect GigaChat3-10-A1.8B as deepseek lite #17420
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I added a test Q8_0 gguf here: https://huggingface.co/ubergarm/GigaChat3-10B-A1.8B-GGUF/tree/main |
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Oops i need to get rid of an accidently commit file, will force push to fix. |
Hardcodes checking number of layers to detect if lite version of deepseek.
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Perplexity seems reasonable:
Always a bit funky when quants have lower perplexity than the original bf16... though it happens sometimes and in this case the values are very similar within the noise. |
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Can you add a comment describing which models we are detecting in case this needs to be fine-tuned in the future?
deepseek lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B
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Thank you! |
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* Detect GigaChat3-10-A1.8B as deepseek lite Hardcodes checking number of layers to detect if lite version of deepseek. * Add commnent identifying deepseek lite variants deepseek lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B
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Hardcodes checking number of layers to detect if a model is the lite version of deepseek.
Tested with bf16 and q8_0 version of GigaChat3-10B-A1.8B and discussed realizing it was a
liteversion similar to DeepSeek-V2-Lite. That model had 27 layers, but GigaChat3 has 26 and that is used to detect thelitevariant as discussed here: https://huggingface.co/ai-sage/GigaChat3-10B-A1.8B/discussions/1#691fb161ac024c8eb626ab36I'd like if anyone else could test. I'll update after testing perplexity to make sure the value looks sane. I haven't uploaded a gguf yet as the template has a parse error and wanted to get it updated before baking it in. That is discussed here: https://huggingface.co/ai-sage/GigaChat3-702B-A36B-preview-bf16/discussions/1