From 867cf8db0d0dff5320ae1b2808f2400e4a357492 Mon Sep 17 00:00:00 2001
From: ModelHub XC <noreply@modelhub.org.cn>
Date: Wed, 24 Jun 2026 12:46:17 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?=
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MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Model: agentlans/Llama3.1-Daredevilish-Instruct
Source: Original Platform
---
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diff --git a/.gitattributes b/.gitattributes
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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diff --git a/README.md b/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|
+
diff --git a/config.json b/config.json
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--- /dev/null
+++ b/config.json
@@ -0,0 +1,40 @@
+{
+  "_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
+}
diff --git a/mergekit_config.yml b/mergekit_config.yml
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--- /dev/null
+++ b/mergekit_config.yml
@@ -0,0 +1,22 @@
+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
diff --git a/model-00001-of-00291.safetensors b/model-00001-of-00291.safetensors
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+  "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}