--- license: cc-by-nc-4.0 tags: - merge - mergekit - lazymergekit - jefferylovely/SuperThetaMaven - flemmingmiguel/MBX-7B-v3 model-index: - name: AiMaven-Prometheus 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: 73.98 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AiMavenAi/AiMaven-Prometheus 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: 88.83 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AiMavenAi/AiMaven-Prometheus 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: 65.17 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AiMavenAi/AiMaven-Prometheus 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: 72.22 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AiMavenAi/AiMaven-Prometheus 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: 85.16 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AiMavenAi/AiMaven-Prometheus 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: 69.07 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AiMavenAi/AiMaven-Prometheus name: Open LLM Leaderboard --- [image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63d2fd4fb734eaa4d4f83928/1QsX5xh9WZRpArL-8ut6N.jpeg) # jefferylovely/AiMaven-Prometheus jefferylovely/AiMaven-Prometheus is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [jefferylovely/SuperThetaMaven](https://huggingface.co/jefferylovely/SuperThetaMaven) * [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3) ## 🧩 Configuration ```yaml slices: - sources: - model: jefferylovely/SuperThetaMaven layer_range: [0, 32] - model: flemmingmiguel/MBX-7B-v3 layer_range: [0, 32] merge_method: slerp base_model: flemmingmiguel/MBX-7B-v3 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: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "jefferylovely/jefferylovely/AiMaven-Prometheus" messages = [{"role": "user", "content": "What is a large language model?"}] tokenizer = AutoTokenizer.from_pretrained(model) prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) pipeline = transformers.pipeline( "text-generation", model=model, torch_dtype=torch.float16, device_map="auto", ) outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) print(outputs[0]["generated_text"]) ``` # [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_AiMavenAi__AiMaven-Prometheus) | Metric |Value| |---------------------------------|----:| |Avg. |75.74| |AI2 Reasoning Challenge (25-Shot)|73.98| |HellaSwag (10-Shot) |88.83| |MMLU (5-Shot) |65.17| |TruthfulQA (0-shot) |72.22| |Winogrande (5-shot) |85.16| |GSM8k (5-shot) |69.07|