Text Generation
Transformers
Safetensors
English
llama
mergekit
Merge
shining-valiant
shining-valiant-2
cobalt
plum
valiant
valiant-labs
llama-3.1
llama-3.1-instruct
llama-3.1-instruct-8b
llama-3
llama-3-instruct
llama-3-instruct-8b
8b
math
math-instruct
science
physics
biology
chemistry
compsci
computer-science
engineering
technical
conversational
chat
instruct
Eval Results
text-generation-inference
Inference Endpoints
Commit
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Parent(s):
b857c30
Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (8b3c6ead3286575b2cd03068071e06112df7a01f)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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language:
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- en
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-
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base_model:
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- meta-llama/Llama-3.1-8B-Instruct
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- ValiantLabs/Llama3.1-8B-ShiningValiant2
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- ValiantLabs/Llama3.1-8B-Cobalt
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-
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model_type: llama
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model-index:
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- name: sequelbox/Llama3.1-8B-PlumMath
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- type: acc
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value: 40.27
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name: acc
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---
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# PlumMath
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weight: 0.2
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base_model: meta-llama/Llama-3.1-8B-Instruct
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```
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---
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language:
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- en
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license: llama3.1
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library_name: transformers
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tags:
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- mergekit
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- merge
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- shining-valiant
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- shining-valiant-2
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- cobalt
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- plum
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- valiant
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- valiant-labs
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- llama
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- llama-3.1
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- llama-3.1-instruct
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- llama-3.1-instruct-8b
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- llama-3
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- llama-3-instruct
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- llama-3-instruct-8b
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- 8b
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- math
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- math-instruct
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- science
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- physics
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- biology
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- chemistry
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- compsci
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- computer-science
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- engineering
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- technical
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- conversational
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- chat
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- instruct
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base_model:
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- meta-llama/Llama-3.1-8B-Instruct
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- ValiantLabs/Llama3.1-8B-ShiningValiant2
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- ValiantLabs/Llama3.1-8B-Cobalt
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pipeline_tag: text-generation
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model_type: llama
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model-index:
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- name: sequelbox/Llama3.1-8B-PlumMath
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- type: acc
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value: 40.27
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name: acc
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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: 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: 22.42
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
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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: 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:
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- type: acc_norm
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value: 16.45
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
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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: 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:
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- type: exact_match
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value: 3.93
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
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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: 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:
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- type: acc_norm
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value: 9.06
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
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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: 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:
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- type: acc_norm
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value: 8.98
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
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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-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:
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- type: acc
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value: 21.95
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath
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name: Open LLM Leaderboard
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---
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# PlumMath
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weight: 0.2
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base_model: meta-llama/Llama-3.1-8B-Instruct
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sequelbox__Llama3.1-8B-PlumMath)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |13.80|
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|IFEval (0-Shot) |22.42|
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|BBH (3-Shot) |16.45|
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|MATH Lvl 5 (4-Shot)| 3.93|
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|GPQA (0-shot) | 9.06|
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|MuSR (0-shot) | 8.98|
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|MMLU-PRO (5-shot) |21.95|
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