---
license: mit
model-index:
- name: Tinyllama-STEM-Cinder-Agent-v1
  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: 21.26
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1
      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: 3.73
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1
      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: 0.08
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1
      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: 0.0
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1
      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: 1.43
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1
      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: 0.96
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1
      name: Open LLM Leaderboard
---
Trained off of https://huggingface.co./Josephgflowers/TinyLlama-Cinder-Agent-v1
This model uses special tokens for RAG:

<|data|>

I also added a summary token:

<|summary|>

Example of data token:

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/HO2_O7RbZa1fyy80pP0MO.png)

# [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/details_Josephgflowers__Tinyllama-STEM-Cinder-Agent-v1)

|      Metric       |Value|
|-------------------|----:|
|Avg.               | 4.58|
|IFEval (0-Shot)    |21.26|
|BBH (3-Shot)       | 3.73|
|MATH Lvl 5 (4-Shot)| 0.08|
|GPQA (0-shot)      | 0.00|
|MuSR (0-shot)      | 1.43|
|MMLU-PRO (5-shot)  | 0.96|