---
run_name: "testset-256-dense-10-no-sparse-rerank-3-summary-hyde-mistral-finetuned"

embeddings:
  model: "Snowflake/snowflake-arctic-embed-m-long"
  dim: 768
  device: "cuda:0"

indexing:
  batch_size: 16
  index_type: "hnsw"

indexes:
  hnsw_pq:
    hnsw_m: 32
    pq_m: 16
    bits: 8
    ef_construction: 100
    ef_search: 64
  hnsw:
    hnsw_m: 32
    ef_construction: 100
    ef_search: 64

rag:
  dense_k: 10
  mode: "validation" # validation or inference

  reranking:
    enabled: true
    reranking_k: 3
    model: "BAAI/bge-reranker-v2-m3"
    device: "cuda:0"

  summary:
    enabled: true
    # uses the same model as hyde

  hyde:
    enabled: true
    model: "unsloth/Llama-3.2-3B-Instruct-bnb-4bit"
    max_seq_length: 2048
    load_in_4bit: true
    device: "cuda:0"
    max_new_tokens: 256

  sparse:
    enabled: false
    model: "tomaarsen/span-marker-roberta-large-fewnerd-fine-super"
    device: "cuda:0"
    sparse_k: 5


  reader:
    model: "jiviteshjn/pittsburgh-rag-qa-mistral-finetuned"
    max_seq_length: 2048
    load_in_4bit: true
    device: "cuda:0"
    batch_size: 4
    max_new_tokens: 64


files:
  context: "/kaggle/input/contexts__1024__with_entities.jsonl"
  index: "/kaggle/input/contexts__1024__snowflake-arctic-embed-m-long__hnsw__32_100_64.index"
  sparse_index: "/kaggle/input/contexts__1024.sparse_index"
  embeddings: "/kaggle/input/contexts__1024__snowflake-arctic-embed-m-long.csv"

  questions_jsonl: "/kaggle/input/questions__annotated.jsonl"
  answers_jsonl: "/kaggle/working/answers__annotated__combo-dense-10-no-sparse-rerank-4-hyde-mistral-finetuned.jsonl"

  questions_txt: "/kaggle/input/questions__test__split/questions_part_2.txt"
  answers_txt: "/kaggle/working/answers__test__testset-final-2-256-dense-10-no-sparse-rerank-3-summary-hyde-mistral-finetuned.txt"

wandb:
  enabled: false
  entity: "INSERT ENTITY"
  project: "INERT PROJECT"