--- license: cc-by-nc-4.0 library_name: transformers tags: - mergekit - merge - alpaca - mistral - not-for-all-audiences - nsfw base_model: - s3nh/SeverusWestLake-7B-DPO - icefog72/IceLemonTeaRP-32k-7b - amazingvince/Not-WizardLM-2-7B model-index: - name: WestIceLemonTeaRP-32k-7b 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: 68.77 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-7b 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: 86.89 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-7b 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: 64.28 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-7b 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: 62.47 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-7b 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: 80.98 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-7b 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: 64.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-7b name: Open LLM Leaderboard --- # WestIceLemonTeaRP-32k-7b ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63407b719dbfe0d48b2d763b/RxJ8WbYsu_OAd8sICmddp.png) This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details Prompt template: Alpaca, maybe ChatML * measurement.json for quanting exl2 included. - [4.2bpw-exl2](https://huggingface.co/icefog72/WestIceLemonTeaRP-32k-7b-4.2bpw-exl2) - [6.5bpw-exl2](https://huggingface.co/icefog72/WestIceLemonTeaRP-32k-7b-6.5bpw-exl2) - [8bpw-exl2](https://huggingface.co/icefog72/WestIceLemonTeaRP-32k-7b-8bpw-exl2) thx mradermacher and SilverFan for * [mradermacher/WestIceLemonTeaRP-32k-GGUF](https://huggingface.co/mradermacher/WestIceLemonTeaRP-32k-GGUF) * [SilverFan/WestIceLemonTeaRP-7b-32k-GGUF](https://huggingface.co/SilverFan/WestIceLemonTeaRP-7b-32k-GGUF) ### Merge Method This model was merged using the SLERP merge method. ### Models Merged The following models were included in the merge: * [IceLemonTeaRP-32k-7b](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b) * WestWizardIceLemonTeaRP * [SeverusWestLake-7B-DPO](https://huggingface.co/s3nh/SeverusWestLake-7B-DPO) * WizardIceLemonTeaRP * [Not-WizardLM-2-7B](https://huggingface.co/amazingvince/Not-WizardLM-2-7B) * [IceLemonTeaRP-32k-7b](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: IceLemonTeaRP-32k-7b layer_range: [0, 32] - model: WestWizardIceLemonTeaRP layer_range: [0, 32] merge_method: slerp base_model: IceLemonTeaRP-32k-7b 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 dtype: float16 ``` ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63407b719dbfe0d48b2d763b/GX-kV-H8_zAJz5hHL8A7G.png) # [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_icefog72__WestIceLemonTeaRP-32k-7b) | Metric |Value| |---------------------------------|----:| |Avg. |71.27| |AI2 Reasoning Challenge (25-Shot)|68.77| |HellaSwag (10-Shot) |86.89| |MMLU (5-Shot) |64.28| |TruthfulQA (0-shot) |62.47| |Winogrande (5-shot) |80.98| |GSM8k (5-shot) |64.22|