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Model: Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1
Source: Original Platform

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: llama3.2
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- KidIkaros/Llama-3.2-1B-Instruct-abliterated
+- Nexesenex/Llama_3.2_1b_Dolto_0.1
+- Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1
+model-index:
+- name: Llama_3.2_1b_RandomLego_RP_R1_0.1
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 55.43
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 7.94
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 5.66
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 0.0
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1
+      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: 1.58
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1
+      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: 6.26
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1
+      name: Open LLM Leaderboard
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [KidIkaros/Llama-3.2-1B-Instruct-abliterated](https://huggingface.co/KidIkaros/Llama-3.2-1B-Instruct-abliterated) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Nexesenex/Llama_3.2_1b_Dolto_0.1](https://huggingface.co/Nexesenex/Llama_3.2_1b_Dolto_0.1)
+* [Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1](https://huggingface.co/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: model_stock
+models:
+  - model: Nexesenex/Llama_3.2_1b_Dolto_0.1
+    parameters:
+      weight: 1.0
+  - model: Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1
+    parameters:
+      weight: 1.0
+base_model: KidIkaros/Llama-3.2-1B-Instruct-abliterated
+dtype: bfloat16
+normalize: true
+```
+# [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/Nexesenex__Llama_3.2_1b_RandomLego_RP_R1_0.1-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |12.81|
+|IFEval (0-Shot)    |55.43|
+|BBH (3-Shot)       | 7.94|
+|MATH Lvl 5 (4-Shot)| 5.66|
+|GPQA (0-shot)      | 0.00|
+|MuSR (0-shot)      | 1.58|
+|MMLU-PRO (5-shot)  | 6.26|
+

config.json

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+{
+  "_name_or_path": "KidIkaros/Llama-3.2-1B-Instruct-abliterated",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "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": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+merge_method: model_stock
+models:
+  - model: Nexesenex/Llama_3.2_1b_Dolto_0.1
+    parameters:
+      weight: 1.0
+  - model: Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1
+    parameters:
+      weight: 1.0
+base_model: KidIkaros/Llama-3.2-1B-Instruct-abliterated
+dtype: bfloat16
+normalize: true

model-00001-of-00001.safetensors

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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
+  }
+}