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Model: agentlans/Llama3.1-SuperDeepFuse
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model:
+- arcee-ai/Llama-3.1-SuperNova-Lite
+- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
+- FuseAI/FuseChat-Llama-3.1-8B-Instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: llama3.1
+language:
+- en
+model-index:
+- name: Llama3.1-SuperDeepFuse
+  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: 77.62
+      name: averaged accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
+      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: 29.22
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
+      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: 17.75
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
+      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: 3.24
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
+      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: 5.13
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
+      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: 30.83
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse
+      name: Open LLM Leaderboard
+---
+# Llama3.1-SuperDeepFuse
+
+An 8B parameter language model that merges three high-performance distilled models to boost reasoning, instruction-following, and performance in mathematics and coding.
+
+## Model Highlights
+
+- **Size**: 8 billion parameters
+- **Base**: [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
+- **Merged Sources**:
+  - [arcee-ai/Llama-3.1-**Super**Nova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite)
+  - [deepseek-ai/**Deep**Seek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B)
+  - [FuseAI/**Fuse**Chat-Llama-3.1-8B-Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.1-8B-Instruct)
+- **Merge Method**: `model_stock`
+
+## Key Capabilities
+
+- Enhanced multi-task reasoning
+- Improved mathematical and coding performance
+- Multilingual support
+
+## Performance Notes
+
+- Maintains Llama 3.1 safety standards
+- Suitable for consumer GPU deployment
+- Balanced performance across diverse tasks
+
+## Considerations
+
+- Still being benchmarked
+- Capabilities limited compared to larger model variants
+- Can give misleading output like all other language models
+- Outputs should be independently verified
+
+## Licensing
+
+Follows standard Llama 3.1 usage terms.
+# [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__Llama3.1-SuperDeepFuse-details)!
+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)!
+
+|      Metric       |Value (%)|
+|-------------------|--------:|
+|**Average**        |    27.30|
+|IFEval (0-Shot)    |    77.62|
+|BBH (3-Shot)       |    29.22|
+|MATH Lvl 5 (4-Shot)|    17.75|
+|GPQA (0-shot)      |     3.24|
+|MuSR (0-shot)      |     5.13|
+|MMLU-PRO (5-shot)  |    30.83|
+

config.json

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+{
+  "_name_or_path": "/drive2/Meta-Llama-3.1-8B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+merge_method: model_stock
+models:
+  - model: /drive2/FuseChat-Llama-3.1-8B-Instruct
+    parameters:
+      weight: 1.0
+  - model: /drive2/DeepSeek-R1-Distill-Llama-8B
+    parameters:
+      weight: 1.0
+  - model: /drive2/Llama-3.1-SuperNova-Lite
+    parameters:
+      weight: 1.0
+base_model: /drive2/Meta-Llama-3.1-8B-Instruct
+dtype: bfloat16
+normalize: true

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}