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Model: agentlans/Llama3.1-SuperDeepFuse Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- arcee-ai/Llama-3.1-SuperNova-Lite
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- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
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- FuseAI/FuseChat-Llama-3.1-8B-Instruct
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: llama3.1
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language:
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- en
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model-index:
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- name: Llama3.1-SuperDeepFuse
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: wis-k/instruction-following-eval
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split: train
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 77.62
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name: averaged accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: SaylorTwift/bbh
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split: test
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 29.22
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: lighteval/MATH-Hard
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split: test
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 17.75
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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split: train
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 3.24
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 5.13
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 30.83
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
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name: Open LLM Leaderboard
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---
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# Llama3.1-SuperDeepFuse
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An 8B parameter language model that merges three high-performance distilled models to boost reasoning, instruction-following, and performance in mathematics and coding.
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## Model Highlights
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- **Size**: 8 billion parameters
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- **Base**: [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
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- **Merged Sources**:
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- [arcee-ai/Llama-3.1-**Super**Nova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite)
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- [deepseek-ai/**Deep**Seek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B)
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- [FuseAI/**Fuse**Chat-Llama-3.1-8B-Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.1-8B-Instruct)
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- **Merge Method**: `model_stock`
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## Key Capabilities
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- Enhanced multi-task reasoning
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- Improved mathematical and coding performance
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- Multilingual support
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## Performance Notes
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- Maintains Llama 3.1 safety standards
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- Suitable for consumer GPU deployment
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- Balanced performance across diverse tasks
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## Considerations
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- Still being benchmarked
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- Capabilities limited compared to larger model variants
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- Can give misleading output like all other language models
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- Outputs should be independently verified
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## Licensing
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Follows standard Llama 3.1 usage terms.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/agentlans__Llama3.1-SuperDeepFuse-details)!
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=agentlans%2FLlama3.1-SuperDeepFuse&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
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| Metric |Value (%)|
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|-------------------|--------:|
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|**Average** | 27.30|
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|IFEval (0-Shot) | 77.62|
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|BBH (3-Shot) | 29.22|
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|MATH Lvl 5 (4-Shot)| 17.75|
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|GPQA (0-shot) | 3.24|
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|MuSR (0-shot) | 5.13|
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|MMLU-PRO (5-shot) | 30.83|
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