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harborwater_-_wizard-orca-3b-8bits
RichardErkhov/harborwater_-_wizard-orca-3b-8bits
harborwater_-_wizard-orca-3b-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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From the Hugging Face model README
Quantization made by Richard Erkhov.
wizard-orca-3b - bnb 8bits
- Model creator: https://huggingface.co/harborwater/
- Original model: https://huggingface.co/harborwater/wizard-orca-3b/
Original model description:
language:
- en license: apache-2.0 library_name: transformers datasets:
- pankajmathur/WizardLM_Orca model-index:
- name: wizard-orca-3b
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: 41.72 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=harborwater/wizard-orca-3b 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: 71.78 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=harborwater/wizard-orca-3b 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: 24.49 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=harborwater/wizard-orca-3b 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: 40.04 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=harborwater/wizard-orca-3b 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: 66.93 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=harborwater/wizard-orca-3b 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: 1.06 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=harborwater/wizard-orca-3b name: Open LLM Leaderboard
- 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:
Trained on 2 epoch of pankajmathur's WizardLM_orca dataset.
This is an open llama derivative.
Prompt template:
### HUMAN:
{prompt}
### RESPONSE:
<leave a newline for the model to answer>
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 41.00 |
| AI2 Reasoning Challenge (25-Shot) | 41.72 |
| HellaSwag (10-Shot) | 71.78 |
| MMLU (5-Shot) | 24.49 |
| TruthfulQA (0-shot) | 40.04 |
| Winogrande (5-shot) | 66.93 |
| GSM8k (5-shot) | 1.06 |
- Type
- llama
- Created
- Oct 18, 2024
- Updated
- Oct 18, 2024