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Daniel Marques
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0fa1208
1
Parent(s):
3a5d8c7
fix: memory error
Browse files- constants.py +2 -2
- load_models.py +1 -1
constants.py
CHANGED
@@ -32,13 +32,13 @@ CHROMA_SETTINGS = Settings(
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)
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# Context Window and Max New Tokens
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-
CONTEXT_WINDOW_SIZE =
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MAX_NEW_TOKENS = CONTEXT_WINDOW_SIZE # int(CONTEXT_WINDOW_SIZE/4)
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#### If you get a "not enough space in the buffer" error, you should reduce the values below, start with half of the original values and keep halving the value until the error stops appearing
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N_GPU_LAYERS = 100 # Llama-2-70B has 83 layers
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N_BATCH =
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### From experimenting with the Llama-2-7B-Chat-GGML model on 8GB VRAM, these values work:
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# N_GPU_LAYERS = 20
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)
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# Context Window and Max New Tokens
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+
CONTEXT_WINDOW_SIZE = 2048
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MAX_NEW_TOKENS = CONTEXT_WINDOW_SIZE # int(CONTEXT_WINDOW_SIZE/4)
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#### If you get a "not enough space in the buffer" error, you should reduce the values below, start with half of the original values and keep halving the value until the error stops appearing
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N_GPU_LAYERS = 100 # Llama-2-70B has 83 layers
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N_BATCH = 1024
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### From experimenting with the Llama-2-7B-Chat-GGML model on 8GB VRAM, these values work:
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# N_GPU_LAYERS = 20
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load_models.py
CHANGED
@@ -6,7 +6,7 @@ from auto_gptq import AutoGPTQForCausalLM
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from huggingface_hub import hf_hub_download
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from langchain.llms import LlamaCpp, HuggingFacePipeline
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from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
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from transformers import (
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AutoModelForCausalLM,
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from huggingface_hub import hf_hub_download
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from langchain.llms import LlamaCpp, HuggingFacePipeline
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+
# from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
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from transformers import (
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AutoModelForCausalLM,
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