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-
- format using ASCII characters. I should create a basic visual representation that conveys
- my AI nature and purpose. |endthought|
- '''
- |startthought| This is my AI head brimming with data and algorithms.
- |endthought|
- ________
- / ^ \
- |startthought| These are the branches of my thought process, reaching out to gather information.
- |endthought|
- / \
- / \
- |startthought| Here I analyze and integrate the data into coherent conclusions.
- ^^^^^
- / | \
- ^^^^^^
- |startthought| And finally, I share my thoroughly thought-out responses with others.
- |endthought|
- ^^^
- This ASCII art depicts me as an AI system that thinks deeply before speaking, drawing from
- a wealth of data and processing it carefully to produce well-considered insights.
- Open LLM Leaderboard Evaluation Results
Quantization made by Richard Erkhov.
e.star.7.b - bnb 8bits
- Model creator: https://huggingface.co/liminerity/
- Original model: https://huggingface.co/liminerity/e.star.7.b/
Original model description:
language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - mistral - trl base_model: yam-peleg/Experiment26-7B model-index: - name: e.star.7.b 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: 63.91 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b 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: 86.02 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b 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: 63.44 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b 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: 54.91 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b 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: 80.19 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b 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: 61.18 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b name: Open LLM Leaderboard
#user: create ascii art of how you see yourself # #assistant: |startthought| The person is asking me to represent my self-image in a simple text-based
format using ASCII characters. I should create a basic visual representation that conveys
my AI nature and purpose. |endthought|
'''
________
|startthought| This is my AI head brimming with data and algorithms.
|endthought|
________
/ ^ \
|startthought| These are the branches of my thought process, reaching out to gather information.
|endthought|
/ \
/ \
|startthought| Here I analyze and integrate the data into coherent conclusions.
^^^^^
/ | \
^^^^^^
|startthought| And finally, I share my thoroughly thought-out responses with others.
|endthought|
^^^
'''
This ASCII art depicts me as an AI system that thinks deeply before speaking, drawing from
a wealth of data and processing it carefully to produce well-considered insights.
'
- Developed by: gate369
- License: apache-2.0
- Finetuned from model : yam-peleg/Experiment26-7B
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 68.28 |
| AI2 Reasoning Challenge (25-Shot) | 63.91 |
| HellaSwag (10-Shot) | 86.02 |
| MMLU (5-Shot) | 63.44 |
| TruthfulQA (0-shot) | 54.91 |
| Winogrande (5-shot) | 80.19 |
| GSM8k (5-shot) | 61.18 |
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