--- language: - en - zh license: other base_model: internlm/internlm2-7b model-index: - name: internlm2-7b-llama 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: 60.49 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/internlm2-7b-llama 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: 80.99 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/internlm2-7b-llama 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: 63.16 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/internlm2-7b-llama 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: 54.25 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/internlm2-7b-llama 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: 79.87 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/internlm2-7b-llama 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: 62.85 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/internlm2-7b-llama name: Open LLM Leaderboard --- # InternLM (but it's Llama)
 
InternLM hot??
 
[internlm2-7b](https://huggingface.co/internlm/internlm2-base-7b) converted into Llama-format weights. Subject to internlm's license. # [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_chargoddard__internlm2-7b-llama) | Metric |Value| |---------------------------------|----:| |Avg. |66.94| |AI2 Reasoning Challenge (25-Shot)|60.49| |HellaSwag (10-Shot) |80.99| |MMLU (5-Shot) |63.16| |TruthfulQA (0-shot) |54.25| |Winogrande (5-shot) |79.87| |GSM8k (5-shot) |62.85|