Mistral 3 Fast Inference#289
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| # Find missing attributes (in original but not in new) | ||
| missing_in_new = orig_attrs - new_attrs | ||
| missing_in_new = missing_in_new - {'hf_device_map'} | ||
| missing_in_new = missing_in_new - {'hf_device_map', 'source_cls'} |
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if this is a set, wrap in set ie set({...})
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Oh this is already a set right? I don't think we need to do a wrap
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| # Get layer names from config | ||
| layer_templates = get_model_layer_config(return_non_layered=False) | ||
| layer_names = sum(layer_templates.values(), []) |
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Oh basically this is like join but I wanted a single deflated list. So sum everything with empty list and you get a single list of everything :)
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its like a=[1,2,3]; b = [4,5,6] and doing a+b which is [1,2,3,4,5,6] or something
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