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Model: pankajmathur/orca_mini_v3_13b Source: Original Platform
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389
README.md
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README.md
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---
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language:
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- en
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license: other
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library_name: transformers
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datasets:
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- psmathur/orca_mini_v1_dataset
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- ehartford/dolphin
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pipeline_tag: text-generation
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model-index:
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- name: orca_mini_v3_13b
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
|
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- type: acc_norm
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value: 63.14
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v3_13b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
|
||||
- type: acc_norm
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value: 82.35
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v3_13b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
|
||||
- type: acc
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value: 56.52
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||||
name: accuracy
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||||
source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v3_13b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 51.81
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||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v3_13b
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name: Open LLM Leaderboard
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||||
- task:
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type: text-generation
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||||
name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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||||
metrics:
|
||||
- type: acc
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||||
value: 76.48
|
||||
name: accuracy
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||||
source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v3_13b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
|
||||
- type: acc
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||||
value: 13.12
|
||||
name: accuracy
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||||
source:
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||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v3_13b
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name: Open LLM Leaderboard
|
||||
- task:
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type: text-generation
|
||||
name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 28.97
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||||
name: strict accuracy
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||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/orca_mini_v3_13b
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name: Open LLM Leaderboard
|
||||
- task:
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type: text-generation
|
||||
name: Text Generation
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dataset:
|
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name: BBH (3-Shot)
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type: BBH
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||||
args:
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num_few_shot: 3
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metrics:
|
||||
- type: acc_norm
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||||
value: 25.55
|
||||
name: normalized accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/orca_mini_v3_13b
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
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type: text-generation
|
||||
name: Text Generation
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dataset:
|
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
|
||||
- type: exact_match
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value: 1.89
|
||||
name: exact match
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/orca_mini_v3_13b
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
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type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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||||
args:
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num_few_shot: 0
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metrics:
|
||||
- type: acc_norm
|
||||
value: 2.01
|
||||
name: acc_norm
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/orca_mini_v3_13b
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
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type: text-generation
|
||||
name: Text Generation
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dataset:
|
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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||||
args:
|
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num_few_shot: 0
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metrics:
|
||||
- type: acc_norm
|
||||
value: 17.11
|
||||
name: acc_norm
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/orca_mini_v3_13b
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
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type: text-generation
|
||||
name: Text Generation
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dataset:
|
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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||||
num_few_shot: 5
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metrics:
|
||||
- type: acc
|
||||
value: 14.5
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/orca_mini_v3_13b
|
||||
name: Open LLM Leaderboard
|
||||
---
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# orca_mini_v3_13b
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A Llama2-13b model trained on Orca Style datasets.
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<strong>
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"Obsessed with Open Source GenAI's potential? So am I ! Let's Contribute together 🚀 <a href="https://www.linkedin.com/in/pankajam" target="_blank">https://www.linkedin.com/in/pankajam</a>"
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</strong>
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### quantized versions
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Big thanks to [@TheBloke](https://huggingface.co/TheBloke)
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|
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1) https://huggingface.co/TheBloke/orca_mini_v3_13B-GGML
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2) https://huggingface.co/TheBloke/orca_mini_v3_13B-GPTQ
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<br>
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#### license disclaimer:
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This model is bound by the license & usage restrictions of the original Llama-2 model. And comes with no warranty or gurantees of any kind.
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<br>
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## Evaluation
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We evaluated orca_mini_v3_13b on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI.
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Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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|||||
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|:------:|:--------:|:-------:|:--------:|
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|**Task**|**Metric**|**Value**|**Stderr**|
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|*arc_challenge*|acc_norm|0.6314|0.0141|
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|*hellaswag*|acc_norm|0.8242|0.0038|
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|*mmlu*|acc_norm|0.5637|0.0351|
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|*truthfulqa_mc*|mc2|0.5127|0.0157|
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|**Total Average**|-|**0.6329877193**||
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<br>
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## Example Usage
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Here is the prompt format
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```
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### System:
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You are an AI assistant that follows instruction extremely well. Help as much as you can.
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### User:
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Tell me about Orcas.
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### Assistant:
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```
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Below shows a code example on how to use this model
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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tokenizer = AutoTokenizer.from_pretrained("psmathur/orca_mini_v3_13b")
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model = AutoModelForCausalLM.from_pretrained(
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"psmathur/orca_mini_v3_13b",
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torch_dtype=torch.float16,
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load_in_8bit=True,
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low_cpu_mem_usage=True,
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device_map="auto"
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)
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system_prompt = "### System:\nYou are an AI assistant that follows instruction extremely well. Help as much as you can.\n\n"
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#generate text steps
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instruction = "Tell me about Orcas."
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prompt = f"{system_prompt}### User: {instruction}\n\n### Assistant:\n"
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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output = model.generate(**inputs, do_sample=True, top_p=0.95, top_k=0, max_new_tokens=4096)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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<br>
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#### Limitations & Biases:
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While this model aims for accuracy, it can occasionally produce inaccurate or misleading results.
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Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content.
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Exercise caution and cross-check information when necessary.
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<br>
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### Citiation:
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Please kindly cite using the following BibTeX:
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||||
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```
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@misc{orca_mini_v3_13b,
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author = {Pankaj Mathur},
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title = {orca_mini_v3_13b: An Orca Style Llama2-70b model},
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year = {2023},
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publisher = {HuggingFace},
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journal = {HuggingFace repository},
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howpublished = {\url{https://https://huggingface.co/psmathur/orca_mini_v3_13b},
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}
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```
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```
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@misc{mukherjee2023orca,
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title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4},
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author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah},
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year={2023},
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eprint={2306.02707},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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```
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@software{touvron2023llama2,
|
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title={Llama 2: Open Foundation and Fine-Tuned Chat Models},
|
||||
author={Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava,
|
||||
Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller,
|
||||
Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez Madian Khabsa, Isabel Kloumann,
|
||||
Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov,
|
||||
Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith,
|
||||
Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu , Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan,
|
||||
Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom},
|
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year={2023}
|
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}
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```
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# [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_psmathur__orca_mini_v3_13b)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 52.23 |
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| ARC (25-shot) | 63.14 |
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| HellaSwag (10-shot) | 82.35 |
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| MMLU (5-shot) | 56.52 |
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| TruthfulQA (0-shot) | 51.81 |
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| Winogrande (5-shot) | 76.48 |
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| GSM8K (5-shot) | 13.12 |
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| DROP (3-shot) | 22.23 |
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|
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# [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_psmathur__orca_mini_v3_13b)
|
||||
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| Metric |Value|
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||||
|---------------------------------|----:|
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|Avg. |57.24|
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|AI2 Reasoning Challenge (25-Shot)|63.14|
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|HellaSwag (10-Shot) |82.35|
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|MMLU (5-Shot) |56.52|
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|TruthfulQA (0-shot) |51.81|
|
||||
|Winogrande (5-shot) |76.48|
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||||
|GSM8k (5-shot) |13.12|
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||||
|
||||
|
||||
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
||||
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_pankajmathur__orca_mini_v3_13b)
|
||||
|
||||
| Metric |Value|
|
||||
|-------------------|----:|
|
||||
|Avg. |15.00|
|
||||
|IFEval (0-Shot) |28.97|
|
||||
|BBH (3-Shot) |25.55|
|
||||
|MATH Lvl 5 (4-Shot)| 1.89|
|
||||
|GPQA (0-shot) | 2.01|
|
||||
|MuSR (0-shot) |17.11|
|
||||
|MMLU-PRO (5-shot) |14.50|
|
||||
|
||||
26
config.json
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26
config.json
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@@ -0,0 +1,26 @@
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||||
{
|
||||
"_name_or_path": "TheBloke/Llama-2-13B-fp16",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 5120,
|
||||
"initializer_range": 0.02,
|
||||
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
93391
tokenizer.json
Normal file
93391
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
31
tokenizer_config.json
Normal file
31
tokenizer_config.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"model_max_length": 4096,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user