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eren23_-_DistiLabelOrca-TinyLLama-1.1B-awq
RichardErkhov/eren23_-_DistiLabelOrca-TinyLLama-1.1B-awq
eren23_-_DistiLabelOrca-TinyLLama-1.1B-awq 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.
DistiLabelOrca-TinyLLama-1.1B - AWQ
- Model creator: https://huggingface.co/eren23/
- Original model: https://huggingface.co/eren23/DistiLabelOrca-TinyLLama-1.1B/
Original model description:
language:
- en license: apache-2.0 library_name: transformers datasets:
- argilla/distilabel-intel-orca-dpo-pairs pipeline_tag: question-answering model-index:
- name: DistiLabelOrca-TinyLLama-1.1B
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: 36.18 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistiLabelOrca-TinyLLama-1.1B 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: 61.15 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistiLabelOrca-TinyLLama-1.1B 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=eren23/DistiLabelOrca-TinyLLama-1.1B 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: 38.05 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistiLabelOrca-TinyLLama-1.1B 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: 60.85 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistiLabelOrca-TinyLLama-1.1B 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: 1.67 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistiLabelOrca-TinyLLama-1.1B 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:
TinyLlama/TinyLlama-1.1B-Chat-v1.0 dpo finetuned on the argilla/distilabel-intel-orca-dpo-pairs dataset, which is the distilled version of https://huggingface.co/datasets/Intel/orca_dpo_pairs
GGUF Version: To be added Exllama Version: To be added
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 37.17 |
| AI2 Reasoning Challenge (25-Shot) | 36.18 |
| HellaSwag (10-Shot) | 61.15 |
| MMLU (5-Shot) | 25.09 |
| TruthfulQA (0-shot) | 38.05 |
| Winogrande (5-shot) | 60.85 |
| GSM8k (5-shot) | 1.67 |
- Type
- llama
- Created
- Dec 25, 2024
- Updated
- Dec 25, 2024