LLaMA OOM hotfix
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@@ -244,8 +244,12 @@ def gguf_clip_loader(path):
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elif arch in {"llama"}:
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temb_key = "token_embd.weight"
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if temb_key in sd and sd[temb_key].shape != (128320, 4096):
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# This still works. Raise error?
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# This still works. TODO: Only relevant for llava?
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logging.warning("Warning! token_embd shape may be incorrect for llama 3 model!")
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if temb_key in sd and sd[temb_key].shape[0] >= (64 * 1024):
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# See note above for T5.
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logging.warning(f"Dequantizing {temb_key} to prevent runtime OOM.")
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sd[temb_key] = dequantize_tensor(sd[temb_key], dtype=torch.float16)
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sd = sd_map_replace(sd, LLAMA_SD_MAP)
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sd = llama_permute(sd, 32, 8) # L3
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else:
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