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
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. Cinder uses the tinyllama chat format Zephyr.
Main Character Cinder: AI companion and quirky robot. Cozmo: The silly one. Vector: The serious one. Computer Voice: The narrator. User: Ship member.
This model is the locally run AI storyteller on the distiller-one! https://docs.pamir.ai/Onboarding
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| 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 |