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Update app.py
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app.py
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@@ -1,18 +1,23 @@
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import spaces
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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from huggingface_hub import hf_hub_download
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import torch
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import random
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#
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model_name = "AstroMLab/AstroSage-8B
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.float16,
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)
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streamer = TextStreamer(tokenizer)
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# Placeholder responses for when context is empty
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import spaces
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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import torch
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import random
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# Define model parameters for 8-bit quantized loading
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model_name = "AstroMLab/AstroSage-8B"
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# Load the tokenizer
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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# Load the model with 8-bit quantization using bitsandbytes
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.float16,
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load_in_8bit=True, # Enable 8-bit quantization
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device_map="auto" # Automatically assign layers to available GPUs
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)
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streamer = TextStreamer(tokenizer)
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# Placeholder responses for when context is empty
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