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Model: Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp Source: Original Platform
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README.md
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README.md
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---
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license: other
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tags:
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- merge
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license_name: yi-34b
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license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
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model-index:
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- name: Nous-Hermes-2-SUS-Chat-34B-Slerp
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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: 66.72
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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=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp
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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: 84.97
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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=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp
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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: 77.0
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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=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp
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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: 59.23
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp
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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: 83.58
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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=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp
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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: 72.86
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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=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp
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name: Open LLM Leaderboard
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---
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# Nous-Hermes-2-SUS-Chat-34B-Slerp
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This is the model for Nous-Hermes-2-SUS-Chat-34B-Slerp. 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 [(NousResearch/Nous-Hermes-2-Yi-34B)](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B):
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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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### Human - Asistant [(SUSTech/SUS-Chat-34B)](https://huggingface.co/SUSTech/SUS-Chat-34B):
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```
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### Human: {user}
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### Assistant: {asistant}
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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: Nous-Hermes-2-Yi-34B
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layer_range: [0, 60]
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- model: SUS-Chat-34B
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layer_range: [0, 60]
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merge_method: slerp
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base_model: Yi-34B
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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
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tokenizer_source: union
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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/Nous-Hermes-2-SUS-Chat-34B-Slerp-GPTQ](https://huggingface.co/TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GPTQ)
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##### GGUF
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- [TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GGUF](https://huggingface.co/TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GGUF)
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##### AWQ
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- [TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-AWQ](https://huggingface.co/TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-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__Nous-Hermes-2-SUS-Chat-34B-Slerp)
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| Metric |Value|
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|Avg. |74.06|
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|AI2 Reasoning Challenge (25-Shot)|66.72|
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|HellaSwag (10-Shot) |84.97|
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|MMLU (5-Shot) |77.00|
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|TruthfulQA (0-shot) |59.23|
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|Winogrande (5-shot) |83.58|
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|GSM8k (5-shot) |72.86|
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