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SOLAR-10.7B-Instruct-v1.0-128k

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  ---
 
 
 
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  datasets:
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  - c-s-ale/alpaca-gpt4-data
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  - Open-Orca/OpenOrca
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  - Intel/orca_dpo_pairs
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  - allenai/ultrafeedback_binarized_cleaned
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- language:
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- - en
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- license: cc-by-nc-4.0
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  base_model:
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- - upstage/SOLAR-10.7B-v1.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # **Meet 10.7B Solar: Elevating Performance with Upstage Depth UP Scaling!**
@@ -176,4 +279,17 @@ Please cite this model using this format.
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  Upstage is creating the best LLM and DocAI. Please find more information at https://upstage.ai
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  ### **Contact Us** ###
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- Any questions and suggestions, please use the discussion tab. If you want to contact us directly, drop an email to [contact@upstage.ai](mailto:contact@upstage.ai)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ license: cc-by-nc-4.0
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  datasets:
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  - c-s-ale/alpaca-gpt4-data
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  - Open-Orca/OpenOrca
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  - Intel/orca_dpo_pairs
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  - allenai/ultrafeedback_binarized_cleaned
 
 
 
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  base_model:
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+ - upstage/SOLAR-10.7B-v1.0
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+ model-index:
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+ - name: SOLAR-10.7B-Instruct-v1.0-128k
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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: 65.96
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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=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
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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: 84.35
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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=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
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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: 57.63
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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=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
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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: 65.42
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
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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: 80.51
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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=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
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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: 7.13
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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=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
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+ name: Open LLM Leaderboard
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  ---
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  # **Meet 10.7B Solar: Elevating Performance with Upstage Depth UP Scaling!**
 
279
  Upstage is creating the best LLM and DocAI. Please find more information at https://upstage.ai
280
 
281
  ### **Contact Us** ###
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+ Any questions and suggestions, please use the discussion tab. If you want to contact us directly, drop an email to [contact@upstage.ai](mailto:contact@upstage.ai)
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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_CallComply__SOLAR-10.7B-Instruct-v1.0-128k)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |60.16|
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+ |AI2 Reasoning Challenge (25-Shot)|65.96|
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+ |HellaSwag (10-Shot) |84.35|
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+ |MMLU (5-Shot) |57.63|
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+ |TruthfulQA (0-shot) |65.42|
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+ |Winogrande (5-shot) |80.51|
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+ |GSM8k (5-shot) | 7.13|
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+