--- language: - en license: apache-2.0 library_name: transformers datasets: - LDJnr/Puffin pipeline_tag: text-generation model-index: - name: Griffin-3B 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: 41.81 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B 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: 72.3 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B 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: 26.36 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B 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: 38.33 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B 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: 67.01 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B 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: 0.99 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B name: Open LLM Leaderboard --- Buy Me A Coffee This is [OpenLLaMA 3B V2](https://huggingface.co/openlm-research/open_llama_3b_v2) finetuned on [Puffin](https://huggingface.co/datasets/LDJnr/Puffin) for 1 epochs. Prompt template: ``` ### HUMAN: {prompt} ### RESPONSE: ``` GGML quants available [here](https://huggingface.co/TheBloke/Griffin-3B-GGML).
GPTQ quants available [here](https://huggingface.co/TheBloke/Griffin-3B-GPTQ). Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please! # [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_acrastt__Griffin-3B) | Metric | Value | |-----------------------|---------------------------| | Avg. | 41.13 | | ARC (25-shot) | 41.81 | | HellaSwag (10-shot) | 72.3 | | MMLU (5-shot) | 26.36 | | TruthfulQA (0-shot) | 38.33 | | Winogrande (5-shot) | 67.01 | | GSM8K (5-shot) | 0.99 | # [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_acrastt__Griffin-3B) | Metric |Value| |---------------------------------|----:| |Avg. |41.13| |AI2 Reasoning Challenge (25-Shot)|41.81| |HellaSwag (10-Shot) |72.30| |MMLU (5-Shot) |26.36| |TruthfulQA (0-shot) |38.33| |Winogrande (5-shot) |67.01| |GSM8k (5-shot) | 0.99|