---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
base_model: LeroyDyer/_Spydaz_Web_AI_BIBLE_002
model-index:
- name: _Spydaz_Web_AI_BIBLE_002
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 21.95
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_BIBLE_002
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 6.35
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_BIBLE_002
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 1.74
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_BIBLE_002
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 4.59
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_BIBLE_002
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 2.45
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_BIBLE_002
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 4.09
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/_Spydaz_Web_AI_BIBLE_002
      name: Open LLM Leaderboard
---

# the bible model :

this model has been fit ! for the bible ( king james ! )
it is very good at returning verse ! and chapter ! 

if the context was long enough it could recall the chapter !

I trained this model ofr creating timelines with the bible as well as having a bible inside my model to ask questions ! 
hence i over fit the bible to reduce hallucenations ! hence the exactness ! this also opened another task of recalling whole storys or articles and books : now the model is well trained for this recall task : once a book is semi fit its fit ! and can be recalled ! 

so NOW : it can take book training !
I also use this model for my merges ro keep the books aligned !

- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/_Spydaz_Web_AI_ChatQA_001_UFT

This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer___Spydaz_Web_AI_BIBLE_002-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               | 6.86|
|IFEval (0-Shot)    |21.95|
|BBH (3-Shot)       | 6.35|
|MATH Lvl 5 (4-Shot)| 1.74|
|GPQA (0-shot)      | 4.59|
|MuSR (0-shot)      | 2.45|
|MMLU-PRO (5-shot)  | 4.09|