--- license: apache-2.0 tags: - mergekit - merge base_model: - vicgalle/NeuralBeagle-11B - jeonsworld/CarbonVillain-en-10.7B-v4 model-index: - name: CarbonBeagle-11B 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: 71.84 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B 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: 88.93 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B 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: 66.62 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B 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: 69.43 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B 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: 84.06 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B 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: 66.94 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard --- # CarbonBeagle-11B An experiment in merging models of different architectures and sizes. Here are the steps: 1. Upscale mlabonne/NeuralBeagle14-7B to vicgalle/franken-Beagle-11B. 2. DPO-tune vicgalle/franken-Beagle-11B to vicgalle/NeuralBeagle-11B. 3. Merge vicgalle/NeuralBeagle-11B and jeonsworld/CarbonVillain-en-10.7B-v4. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/5fad8602b8423e1d80b8a965/C1FMtz2kX9UyCwX1CGDKM.png) ## Merge Details ### Merge Method This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method. ### Models Merged The following models were included in the merge: * [vicgalle/NeuralBeagle-11B](https://huggingface.co/vicgalle/NeuralBeagle-11B) * [jeonsworld/CarbonVillain-en-10.7B-v4](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v4) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: jeonsworld/CarbonVillain-en-10.7B-v4 parameters: weight: 1.0 - model: vicgalle/NeuralBeagle-11B parameters: weight: 0.5 merge_method: linear dtype: float16 ``` ## Evaluations At the time of its creation (21-01-2024), it is the best model in the Open LLM Leaderboard for its size class (10.7B-11B), and also 13B models: ![image/png](https://cdn-uploads.huggingface.co/production/uploads/5fad8602b8423e1d80b8a965/J4Jd_lx-Nja7CsNBSQ9re.png) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/5fad8602b8423e1d80b8a965/W2WgMmI7KZlyd61bJTgFs.png) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/5fad8602b8423e1d80b8a965/oytHEbGe68rxXV-5PwsXj.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_vicgalle__CarbonBeagle-11B) | Metric |Value| |---------------------------------|----:| |Avg. |74.64| |AI2 Reasoning Challenge (25-Shot)|71.84| |HellaSwag (10-Shot) |88.93| |MMLU (5-Shot) |66.62| |TruthfulQA (0-shot) |69.43| |Winogrande (5-shot) |84.06| |GSM8k (5-shot) |66.94|