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Added Falcon LoRA training support (#2684)
I am 50% sure this will work
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@ -30,12 +30,14 @@ try:
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MODEL_CLASSES = {v: k for k, v in MODEL_FOR_CAUSAL_LM_MAPPING_NAMES}
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MODEL_CLASSES = {v: k for k, v in MODEL_FOR_CAUSAL_LM_MAPPING_NAMES}
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except:
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except:
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standard_modules = ["q_proj", "v_proj"]
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standard_modules = ["q_proj", "v_proj"]
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model_to_lora_modules = {"llama": standard_modules, "opt": standard_modules, "gptj": standard_modules, "gpt_neox": ["query_key_value"]}
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model_to_lora_modules = {"llama": standard_modules, "opt": standard_modules, "gptj": standard_modules, "gpt_neox": ["query_key_value"], "rw":["query_key_value"]}
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MODEL_CLASSES = {
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MODEL_CLASSES = {
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"LlamaForCausalLM": "llama",
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"LlamaForCausalLM": "llama",
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"OPTForCausalLM": "opt",
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"OPTForCausalLM": "opt",
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"GPTJForCausalLM": "gptj",
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"GPTJForCausalLM": "gptj",
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"GPTNeoXForCausalLM": "gpt_neox"
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"GPTNeoXForCausalLM": "gpt_neox",
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"RWForCausalLM": "rw"
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}
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}
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train_log = {}
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train_log = {}
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