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Model: agentlans/Gemma2-9B-AdvancedFuse
Source: Original Platform

README.md

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+---
+datasets:
+- agentlans/crash-course
+base_model:
+- google/gemma-2-9b-it
+- FuseAI/FuseChat-Gemma-2-9B-Instruct
+- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
+tags:
+- gemma2
+language:
+- en
+pipeline_tag: text-generation
+license: gemma
+model-index:
+- name: Gemma2-9B-AdvancedFuse
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: wis-k/instruction-following-eval
+      split: train
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 15.43
+      name: averaged accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: SaylorTwift/bbh
+      split: test
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 40.52
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: lighteval/MATH-Hard
+      split: test
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 7.55
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      split: train
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 11.3
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 11.99
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 33.34
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
+      name: Open LLM Leaderboard
+---
+# Gemma2-9B-AdvancedFuse
+
+Gemma2-9B-AdvancedFuse is an experimental, open-source large language model (LLM) with 9 billion parameters.
+It aims to combine the strengths of [FuseAI/FuseChat-Gemma-2-9B-Instruct](https://huggingface.co/fuseai/fusechat-gemma-2-9b-instruct) and
+[jsgreenawalt/gemma-2-9B-it-advanced-v2.1](https://huggingface.co/jsgreenawalt/gemma-2-9b-it-advanced-v2.1) through additive linear merging,
+further fine-tuned on a 12K row dataset from [agentlans/crash-course](https://huggingface.co/datasets/agentlans/crash-course) 
+for enhanced chat and instruct performance, including math and multilingual prompts.
+
+## Capabilities
+- **Text Generation:** Generates coherent emails, summaries, and notes. This model card was primarily generated by the model itself.
+- **Instruction Following:** Demonstrates strong ability to understand and execute instructions in conversational settings.
+- **Roleplaying:** Can engage in third-person narrative roleplay but may exhibit common GPT expressions or clichés.
+
+### Limitations
+As with most large language models:
+- **Factual Errors:** May generate incorrect or outdated information due to data biases.
+- **Mathematical Operations:** Struggles with mathematical calculations requiring symbolic reasoning despite its finetuning data.
+- **Handling Unsafe Input:** May generate unsafe, biased, or malicious content if provided inappropriate input. Careful prompt engineering is recommended.
+
+### Model Usage Guidelines
+1. Use clear and specific instructions for optimal performance.
+2. Verify generated outputs for factual accuracy when critical information is involved.
+3. Avoid providing inputs that could lead to harmful or unethical responses.
+4. Consider using human review, especially in high-stakes applications.
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/agentlans__Gemma2-9B-AdvancedFuse-details)!
+Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=agentlans%2FGemma2-9B-AdvancedFuse&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
+
+|      Metric       |Value (%)|
+|-------------------|--------:|
+|**Average**        |    20.02|
+|IFEval (0-Shot)    |    15.43|
+|BBH (3-Shot)       |    40.52|
+|MATH Lvl 5 (4-Shot)|     7.55|
+|GPQA (0-shot)      |    11.30|
+|MuSR (0-shot)      |    11.99|
+|MMLU-PRO (5-shot)  |    33.34|
+