Spaces:
Running
Running
File size: 2,995 Bytes
0d0811c dec44ff 0d0811c 0e80b2f 0d0811c 66381c1 0d0811c 4b3c417 0d0811c a1af241 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
# LLM_MODEL_TYPE=openai
# LLM_MODEL_TYPE=gpt4all-j
# LLM_MODEL_TYPE=gpt4all
# LLM_MODEL_TYPE=llamacpp
# LLM_MODEL_TYPE=huggingface
# LLM_MODEL_TYPE=mosaicml
# LLM_MODEL_TYPE=stablelm
# LLM_MODEL_TYPE=openllm
LLM_MODEL_TYPE=hftgi
OPENLLM_SERVER_URL=
HFTGI_SERVER_URL=
HFTGI_RP=1.05
OPENAI_API_KEY=
# if unset, default to "gpt-3.5-turbo"
OPENAI_MODEL_NAME=
# cpu, mps or cuda:0 - if unset, use whatever detected
HF_EMBEDDINGS_DEVICE_TYPE=
HF_PIPELINE_DEVICE_TYPE=
# uncomment one of the below to load corresponding quantized model
# LOAD_QUANTIZED_MODEL=4bit
# LOAD_QUANTIZED_MODEL=8bit
DISABLE_MODEL_PRELOADING=true
CHAT_HISTORY_ENABLED=false
SHOW_PARAM_SETTINGS=false
SHARE_GRADIO_APP=false
PDF_FILE_BASE_URL=https://chat-with-llama-2.netlify.app/pdfs/pci_dss_v4/
# if unset, default to "hkunlp/instructor-xl"
HF_EMBEDDINGS_MODEL_NAME="hkunlp/instructor-large"
# number of cpu cores - used to set n_threads for GPT4ALL & LlamaCpp models
NUMBER_OF_CPU_CORES=
HUGGINGFACE_AUTH_TOKEN=
USING_TORCH_BFLOAT16=true
# HUGGINGFACE_MODEL_NAME_OR_PATH="databricks/dolly-v2-3b"
# HUGGINGFACE_MODEL_NAME_OR_PATH="databricks/dolly-v2-7b"
# HUGGINGFACE_MODEL_NAME_OR_PATH="databricks/dolly-v2-12b"
# HUGGINGFACE_MODEL_NAME_OR_PATH="TheBloke/wizardLM-7B-HF"
# HUGGINGFACE_MODEL_NAME_OR_PATH="TheBloke/vicuna-7B-1.1-HF"
# HUGGINGFACE_MODEL_NAME_OR_PATH="nomic-ai/gpt4all-j"
# HUGGINGFACE_MODEL_NAME_OR_PATH="nomic-ai/gpt4all-falcon"
# HUGGINGFACE_MODEL_NAME_OR_PATH="lmsys/fastchat-t5-3b-v1.0"
# HUGGINGFACE_MODEL_NAME_OR_PATH="meta-llama/Llama-2-7b-chat-hf"
# HUGGINGFACE_MODEL_NAME_OR_PATH="meta-llama/Llama-2-13b-chat-hf"
# HUGGINGFACE_MODEL_NAME_OR_PATH="meta-llama/Llama-2-70b-chat-hf"
HUGGINGFACE_MODEL_NAME_OR_PATH="microsoft/Orca-2-7b"
# HUGGINGFACE_MODEL_NAME_OR_PATH="microsoft/Orca-2-13b"
STABLELM_MODEL_NAME_OR_PATH="OpenAssistant/stablelm-7b-sft-v7-epoch-3"
MOSAICML_MODEL_NAME_OR_PATH="mosaicml/mpt-7b-instruct"
FALCON_MODEL_NAME_OR_PATH="tiiuae/falcon-7b-instruct"
GPT4ALL_J_MODEL_PATH="./models/ggml-gpt4all-j-v1.3-groovy.bin"
GPT4ALL_J_DOWNLOAD_LINK=https://gpt4all.io/models/ggml-gpt4all-j-v1.3-groovy.bin
GPT4ALL_MODEL_PATH="./models/ggml-nous-gpt4-vicuna-13b.bin"
GPT4ALL_DOWNLOAD_LINK=https://gpt4all.io/models/ggml-nous-gpt4-vicuna-13b.bin
LLAMACPP_MODEL_PATH="./models/wizardLM-7B.ggmlv3.q4_1.bin"
LLAMACPP_DOWNLOAD_LINK=https://huggingface.co/TheBloke/wizardLM-7B-GGML/resolve/main/wizardLM-7B.ggmlv3.q4_1.bin
# Index for PCI DSS v4 PDF files - chunk_size=1024 chunk_overlap=512
# CHROMADB_INDEX_PATH="./data/chromadb_1024_512/"
FAISS_INDEX_PATH="./data/faiss_1024_512/"
CHAT_QUESTION="What's the capital city of Malaysia?"
QA_QUESTION="What's PCI DSS?"
# QUESTIONS_FILE_PATH="./data/questions.txt"
QUESTIONS_FILE_PATH="./data/questions_with_faq.txt"
TOKENIZERS_PARALLELISM=true
# env variables for ingesting source PDF files
SOURCE_PDFS_PATH="./data/pdfs/"
SOURCE_URLS="./data/pci_dss_urls.txt"
CHUNCK_SIZE=1024
CHUNK_OVERLAP=512
VERTOPAL_APP_ID=
VERTOPAL_TOKEN=
|