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add mps support on apple silicon
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@ -46,6 +46,13 @@ def load_model(model_name):
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if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.gptq_bits, shared.args.auto_devices, shared.args.disk, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.deepspeed, shared.args.flexgen, shared.is_RWKV]):
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if any(size in shared.model_name.lower() for size in ('13b', '20b', '30b')):
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{shared.model_name}"), device_map='auto', load_in_8bit=True)
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if torch.has_mps:
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model = AutoModelForCausalLM.from_pretrained(
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Path(f"models/{shared.model_name}"),low_cpu_mem_usage=True,
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torch_dtype=torch.bfloat16 if shared.args.bf16 else torch.float16
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)
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device = torch.device('mps')
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model = model.to(device)
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else:
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{shared.model_name}"), low_cpu_mem_usage=True, torch_dtype=torch.bfloat16 if shared.args.bf16 else torch.float16).cuda()
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@ -97,7 +104,7 @@ def load_model(model_name):
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# Custom
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else:
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params = {"low_cpu_mem_usage": True}
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if not shared.args.cpu and not torch.cuda.is_available():
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if not shared.args.cpu and not torch.cuda.is_available() and not torch.has_mps:
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print("Warning: torch.cuda.is_available() returned False.\nThis means that no GPU has been detected.\nFalling back to CPU mode.\n")
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shared.args.cpu = True
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@ -33,9 +33,13 @@ def encode(prompt, tokens_to_generate=0, add_special_tokens=True):
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return input_ids.numpy()
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elif shared.args.deepspeed:
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return input_ids.to(device=local_rank)
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elif torch.has_mps:
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device = torch.device('mps')
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return input_ids.to(device)
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else:
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return input_ids.cuda()
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def decode(output_ids):
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# Open Assistant relies on special tokens like <|endoftext|>
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if re.match('(oasst|galactica)-*', shared.model_name.lower()):
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