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Update app.py
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app.py
CHANGED
@@ -9,7 +9,8 @@ from threading import Thread
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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MODEL_ID = "CohereForAI/aya-23-8B"
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TITLE = "<h1><center>Aya-23-Chatbox</center></h1>"
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@@ -34,26 +35,27 @@ USE_FLASH_ATTENTION = False
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GRAD_ACC_STEPS = 16
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quantization_config = None
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if QUANTIZE_4BIT:
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attn_implementation = None
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if USE_FLASH_ATTENTION:
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model = AutoModelForCausalLM.from_pretrained(
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quantization_config=quantization_config,
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attn_implementation=attn_implementation,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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tokenizer = AutoTokenizer.from_pretrained(
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@spaces.GPU
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def stream_chat(message: str, history: list, temperature: float, max_new_tokens: int):
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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MODEL_ID = "CohereForAI/aya-23-8B"
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MODEL_ID2 = "CohereForAI/aya-23-35B"
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MODEL_NAME = MODEL_ID2.split("/")[-1]
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TITLE = "<h1><center>Aya-23-Chatbox</center></h1>"
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GRAD_ACC_STEPS = 16
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quantization_config = None
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if QUANTIZE_4BIT:
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quantization_config = BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_quant_type="nf4",
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bnb_4bit_use_double_quant=True,
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bnb_4bit_compute_dtype=torch.bfloat16,
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)
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attn_implementation = None
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if USE_FLASH_ATTENTION:
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attn_implementation="flash_attention_2"
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_ID2,
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quantization_config=quantization_config,
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attn_implementation=attn_implementation,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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tokenizer = AutoTokenizer.from_pretrained(MODEL_ID2)
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@spaces.GPU
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def stream_chat(message: str, history: list, temperature: float, max_new_tokens: int):
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