fix for fsdp for models that aren't qwen2 or jamba
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@@ -459,7 +459,7 @@ def load_model(
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_quant_storage": torch.bfloat16,
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"bnb_4bit_quant_storage": torch.bfloat16,
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}
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}
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if not cfg.deepspeed:
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if not cfg.deepspeed and cfg.model_config_type in ("jamba", "qwen2_moe"):
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# for some reason, this causes the loss to be off by an order of magnitude
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# for some reason, this causes the loss to be off by an order of magnitude
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# but deepspeed needs this still in bfloat16
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# but deepspeed needs this still in bfloat16
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bnb_config["bnb_4bit_quant_storage"] = torch.float32
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bnb_config["bnb_4bit_quant_storage"] = torch.float32
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