--- license: other tags: - merge license_name: yi-34b license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE model-index: - name: Nous-Hermes-2-SUS-Chat-34B-Slerp results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 66.72 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 84.97 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 77.0 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 59.23 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 83.58 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 72.86 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp name: Open LLM Leaderboard --- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/u0jZZVpCxq3JN8VzFXVhV.png) # Nous-Hermes-2-SUS-Chat-34B-Slerp This is the model for Nous-Hermes-2-SUS-Chat-34B-Slerp. I used [mergekit](https://github.com/cg123/mergekit) to merge models. # Prompt Templates You can use these prompt templates, but I recommend using ChatML. ### ChatML [(NousResearch/Nous-Hermes-2-Yi-34B)](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B): ``` <|im_start|>system {system}<|im_end|> <|im_start|>user {user}<|im_end|> <|im_start|>assistant {asistant}<|im_end|> ``` ### Human - Asistant [(SUSTech/SUS-Chat-34B)](https://huggingface.co/SUSTech/SUS-Chat-34B): ``` ### Human: {user} ### Assistant: {asistant} ``` # Yaml Config ```yaml slices: - sources: - model: Nous-Hermes-2-Yi-34B layer_range: [0, 60] - model: SUS-Chat-34B layer_range: [0, 60] merge_method: slerp base_model: Yi-34B parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 tokenizer_source: union dtype: bfloat16 ``` # Quantizationed versions Quantizationed versions of this model is available thanks to [TheBloke](https://hf.co/TheBloke). ##### GPTQ - [TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GPTQ](https://huggingface.co/TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GPTQ) ##### GGUF - [TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GGUF](https://huggingface.co/TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-GGUF) ##### AWQ - [TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-AWQ](https://huggingface.co/TheBloke/Nous-Hermes-2-SUS-Chat-34B-Slerp-AWQ) # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Nous-Hermes-2-SUS-Chat-34B-Slerp) | Metric |Value| |---------------------------------|----:| |Avg. |74.06| |AI2 Reasoning Challenge (25-Shot)|66.72| |HellaSwag (10-Shot) |84.97| |MMLU (5-Shot) |77.00| |TruthfulQA (0-shot) |59.23| |Winogrande (5-shot) |83.58| |GSM8k (5-shot) |72.86|