初始化项目，由ModelHub XC社区提供模型
Model: Weyaxi/Seraph-7B Source: Original Platform
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ModelHub XC
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README.md
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README.md
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license: cc-by-nc-4.0
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model-index:
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- name: Seraph-7B
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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: 67.83
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-7B
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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: 86.22
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-7B
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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: 65.07
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-7B
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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: 59.49
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-7B
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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: 80.66
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-7B
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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: 71.87
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-7B
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name: Open LLM Leaderboard
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tags:
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- merge
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---
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# Seraph-7B
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This is the model for Seraph-7B. I used [mergekit](https://github.com/cg123/mergekit) to merge models.
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# Prompt Templates
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You can use these prompt templates, but I recommend using ChatML.
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### ChatML:
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```
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<|im_start|>system
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{system}<|im_end|>
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<|im_start|>user
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{user}<|im_end|>
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<|im_start|>assistant
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{asistant}<|im_end|>
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```
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### System, User, Asistant Alpaca Style:
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```
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### System:
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{system}
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### User:
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{user}
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### Assistant:
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```
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# Yaml Config
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```yaml
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slices:
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- sources:
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- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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layer_range: [0, 32]
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- model: Q-bert/MetaMath-Cybertron-Starling
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layer_range: [0, 32]
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merge_method: slerp
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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dtype: bfloat16
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```
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# Quantizationed versions
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Quantizationed versions of this model is available thanks to [TheBloke](https://hf.co/TheBloke).
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##### GPTQ
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- [TheBloke/Seraph-7B-GPTQ](https://huggingface.co/TheBloke/Seraph-7B-GPTQ)
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##### GGUF
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- [TheBloke/Seraph-7B-GGUF](https://huggingface.co/TheBloke/Seraph-7B-GGUF)
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##### AWQ
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- [TheBloke/Seraph-7B-AWQ](https://huggingface.co/TheBloke/Seraph-7B-AWQ)
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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_Weyaxi__Seraph-7B)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 71.86 |
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| ARC (25-shot) | 67.83 |
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| HellaSwag (10-shot) | 86.22 |
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| MMLU (5-shot) | 65.07|
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| TruthfulQA (0-shot) | 59.49 |
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| Winogrande (5-shot) | 80.66 |
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| GSM8K (5-shot) | 71.87 |
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If you would like to support me:
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[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)
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