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Model: agentlans/Llama3.1-Daredevilish-Instruct
Source: Original Platform

.gitattributes

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README.md

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+---
+license: llama3.1
+base_model:
+- DreadPoor/LemonP-8B-Model_Stock
+- Youlln/1PARAMMYL-8B-ModelStock
+- jaspionjader/f-2-8b
+- Etherll/SuperHermes
+- meta-llama/Llama-3.1-8B-Instruct
+tags:
+- merge
+- mergekit
+model-index:
+- name: Llama3.1-Daredevilish-Instruct
+  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: 79.41
+      name: averaged accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
+      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: 32.22
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
+      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: 16.77
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
+      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: 7.61
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
+      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: 7.92
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
+      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: 31.97
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
+      name: Open LLM Leaderboard
+---
+# Llama 3.1 Daredevilish Instruct
+
+- This model is an experimental Llama 3.1-based merge, inspired by the approach used in [mlabonne/Daredevil-8B](https://huggingface.co/mlabonne/Daredevil-8B).
+- It combines top-performing Llama 3.1 8B models on the MMLU-Pro benchmark from the [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/) as of January 21, 2025.
+- Its straightforward language makes it accessible and potentially valuable for everyday use.
+
+## Model Details
+
+- **Architecture:** Llama 3.1 (8.03B parameters)
+- **Training:** Merged from top MMLU-Pro models without additional finetuning
+- **Release Date:** January 21, 2025
+
+## Merge Configuration
+
+The model was created using [mergekit](https://github.com/arcee-ai/mergekit) with the following merge configuration:
+
+```yaml
+models:
+  - model: DreadPoor/LemonP-8B-Model_Stock
+    parameters:
+      density: 0.6
+      weight: 0.16
+  - model: Youlln/1PARAMMYL-8B-ModelStock
+    parameters:
+      density: 0.6
+      weight: 0.13
+  - model: jaspionjader/f-2-8b
+    parameters:
+      density: 0.6
+      weight: 0.10
+  - model: Etherll/SuperHermes
+    parameters:
+      density: 0.6
+      weight: 0.08
+merge_method: dare_ties
+base_model: meta-llama/Llama-3.1-8B-Instruct
+dtype: bfloat16
+```
+
+## Usage and Limitations
+
+This experimental model is designed for research and development purposes. Users should be aware of potential biases and limitations inherent in language models. Always validate outputs and use the model responsibly.
+
+## Future Work
+
+Further evaluation and fine-tuning may be necessary to optimize performance across various tasks. Researchers are encouraged to build upon this experimental merge to advance the capabilities of Llama-based models.
+# [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-Daredevilish-Instruct-details)!
+Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=agentlans%2FLlama3.1-Daredevilish-Instruct&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
+
+|      Metric       |Value (%)|
+|-------------------|--------:|
+|**Average**        |    29.32|
+|IFEval (0-Shot)    |    79.41|
+|BBH (3-Shot)       |    32.22|
+|MATH Lvl 5 (4-Shot)|    16.77|
+|GPQA (0-shot)      |     7.61|
+|MuSR (0-shot)      |     7.92|
+|MMLU-PRO (5-shot)  |    31.97|
+

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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+models:
+#  - model: /drive2/Meta-Llama-3.1-8B
+    # No parameters necessary for base model
+  - model: /drive2/LemonP-8B-Model_Stock
+    parameters:
+      density: 0.6
+      weight: 0.16
+  - model: /drive2/1PARAMMYL-8B-ModelStock
+    parameters:
+      density: 0.6
+      weight: 0.13
+  - model: /drive2/f-2-8b
+    parameters:
+      density: 0.6
+      weight: 0.10
+  - model: /drive2/SuperHermes
+    parameters:
+      density: 0.6
+      weight: 0.08
+merge_method: dare_ties
+base_model: /drive2/Meta-Llama-3.1-8B-Instruct
+dtype: bfloat16

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