--- license: other metrics: - accuracy base_model: Mihaiii/Pallas-0.5 inference: false license_name: yi-license license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE model-index: - name: Pallas-0.5-frankenmerge 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: 61.77 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge 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: 80.36 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge 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: 67.62 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge 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: 54.07 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge 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: 77.74 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge 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: 24.11 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge name: Open LLM Leaderboard --- This is a frankenmerge of [Mihaiii/Pallas-0.5](https://huggingface.co/Mihaiii/Pallas-0.5) . It was done using [mergekit](https://github.com/cg123/mergekit). It works well with long system prompts. It isn't generic in a sense that it shouldn't be used for story telling, for example, but only for reasoning and text comprehension. This model is trained on a private dataset. # Prompt Format: ``` SYSTEM: USER: ASSISTANT: ``` Merge config: ```yaml slices: - sources: - model: "Mihaiii/Pallas-0.5" layer_range: [0, 60] - sources: - model: "Mihaiii/Pallas-0.5" layer_range: [58, 60] - sources: - model: "Mihaiii/Pallas-0.5" layer_range: [55, 56] merge_method: passthrough dtype: bfloat16 ``` Quants: [TheBloke/Pallas-0.5-frankenmerge-GGUF](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-GGUF) [TheBloke/Pallas-0.5-frankenmerge-GPTQ](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-GPTQ) [TheBloke/Pallas-0.5-frankenmerge-AWQ](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-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_Mihaiii__Pallas-0.5-frankenmerge) | Metric |Value| |---------------------------------|----:| |Avg. |60.95| |AI2 Reasoning Challenge (25-Shot)|61.77| |HellaSwag (10-Shot) |80.36| |MMLU (5-Shot) |67.62| |TruthfulQA (0-shot) |54.07| |Winogrande (5-shot) |77.74| |GSM8k (5-shot) |24.11|