---
license: mit
widget:
- text: '<|user|>

    Can you tell me a space adventure story?</s>

    <|assistant|>'
model-index:
- name: 160M-TinyLLama-Mini-Cinder
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 24.66
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 28.16
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 25.09
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 44.08
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 52.57
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 0.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
      name: Open LLM Leaderboard
---
Model trained on Tiny Stories. Followed up with conversations datasets, followed up with trimmed Cinder Dataset.
Mini Cinder is ok at conversation and story telling for kids stories.

Overview Cinder is an AI chatbot tailored for engaging users in scientific and educational conversations, offering companionship, and sparking imaginative exploration.
This Cinder still has a lot to learn but is very friendly and enjoys telling stories.


Main Character Cinder: AI companion and quirky robot. 
Cozmo: The silly one.
Vector: The serious one.
Computer Voice: The narrator.
User: Ship member. 



![image/png](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/1fBgUSy8Aob7glhecfY3u.png)

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Josephgflowers__160M-TinyLLama-Mini-Cinder)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |29.09|
|AI2 Reasoning Challenge (25-Shot)|24.66|
|HellaSwag (10-Shot)              |28.16|
|MMLU (5-Shot)                    |25.09|
|TruthfulQA (0-shot)              |44.08|
|Winogrande (5-shot)              |52.57|
|GSM8k (5-shot)                   | 0.00|