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  ---
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  license: apache-2.0
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- base_model: BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v12-minipile
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  tags:
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  - generated_from_trainer
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  - smol_llama
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  - llama2
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  metrics:
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  - accuracy
 
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  inference:
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  parameters:
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  max_new_tokens: 64
@@ -17,43 +17,140 @@ inference:
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  eta_cutoff: 0.001
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  renormalize_logits: true
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  widget:
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- - text: My name is El Microondas the Wise and
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- example_title: El Microondas
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- - text: Kennesaw State University is a public
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- example_title: Kennesaw State University
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- - text: >-
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- Bungie Studios is an American video game developer. They are most famous
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- for developing the award winning Halo series of video games. They also
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- made Destiny. The studio was founded
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- example_title: Bungie
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- - text: The Mona Lisa is a world-renowned painting created by
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- example_title: Mona Lisa
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- - text: >-
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- The Harry Potter series, written by J.K. Rowling, begins with the book
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- titled
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- example_title: Harry Potter Series
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- - text: >-
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- Question: I have cities, but no houses. I have mountains, but no trees. I
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- have water, but no fish. What am I?
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-
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- Answer:
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- example_title: Riddle
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- - text: The process of photosynthesis involves the conversion of
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- example_title: Photosynthesis
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- - text: >-
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- Jane went to the store to buy some groceries. She picked up apples,
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- oranges, and a loaf of bread. When she got home, she realized she forgot
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- example_title: Story Continuation
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- - text: >-
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- Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph,
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- and another train leaves Station B at 10:00 AM and travels at 80 mph, when
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- will they meet if the distance between the stations is 300 miles?
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-
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- To determine
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- example_title: Math Problem
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- - text: In the context of computer programming, an algorithm is
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- example_title: Algorithm Definition
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -129,3 +226,17 @@ The following hyperparameters were used during training:
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  - Pytorch 2.1.0
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
5
  - smol_llama
6
  - llama2
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  metrics:
8
  - accuracy
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+ base_model: BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v12-minipile
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  inference:
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  parameters:
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  max_new_tokens: 64
 
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  eta_cutoff: 0.001
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  renormalize_logits: true
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  widget:
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+ - text: My name is El Microondas the Wise and
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+ example_title: El Microondas
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+ - text: Kennesaw State University is a public
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+ example_title: Kennesaw State University
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+ - text: Bungie Studios is an American video game developer. They are most famous for
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+ developing the award winning Halo series of video games. They also made Destiny.
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+ The studio was founded
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+ example_title: Bungie
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+ - text: The Mona Lisa is a world-renowned painting created by
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+ example_title: Mona Lisa
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+ - text: The Harry Potter series, written by J.K. Rowling, begins with the book titled
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+ example_title: Harry Potter Series
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+ - text: 'Question: I have cities, but no houses. I have mountains, but no trees. I
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+ have water, but no fish. What am I?
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+
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+ Answer:'
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+ example_title: Riddle
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+ - text: The process of photosynthesis involves the conversion of
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+ example_title: Photosynthesis
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+ - text: Jane went to the store to buy some groceries. She picked up apples, oranges,
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+ and a loaf of bread. When she got home, she realized she forgot
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+ example_title: Story Continuation
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+ - text: 'Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph,
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+ and another train leaves Station B at 10:00 AM and travels at 80 mph, when will
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+ they meet if the distance between the stations is 300 miles?
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+
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+ To determine'
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+ example_title: Math Problem
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+ - text: In the context of computer programming, an algorithm is
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+ example_title: Algorithm Definition
 
 
 
 
 
 
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: NanoLlama-GQA-L10-A32_KV8-v13-KI
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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: 23.81
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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=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
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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:
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+ - type: acc_norm
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+ value: 29.39
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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=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
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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:
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+ - type: acc
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+ value: 25.37
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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=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
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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: 44.77
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
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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:
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+ - type: acc
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+ value: 51.14
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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=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
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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:
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+ - type: acc
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+ value: 0.91
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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=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
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+ name: Open LLM Leaderboard
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  ---
155
 
156
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - Pytorch 2.1.0
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
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+
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_BEE-spoke-data__NanoLlama-GQA-L10-A32_KV8-v13-KI)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |29.23|
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+ |AI2 Reasoning Challenge (25-Shot)|23.81|
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+ |HellaSwag (10-Shot) |29.39|
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+ |MMLU (5-Shot) |25.37|
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+ |TruthfulQA (0-shot) |44.77|
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+ |Winogrande (5-shot) |51.14|
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+ |GSM8k (5-shot) | 0.91|
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+