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README.md

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+---
+base_model:
+- TareksLab/Cerebro-V1-LLaMa-70B
+- reissbaker/llama-3.1-70b-abliterated-lora
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# MERGE2
+
+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 [Task Arithmetic](https://arxiv.org/abs/2212.04089) merge method using [TareksLab/Cerebro-V1-LLaMa-70B](https://huggingface.co/TareksLab/Cerebro-V1-LLaMa-70B) + [reissbaker/llama-3.1-70b-abliterated-lora](https://huggingface.co/reissbaker/llama-3.1-70b-abliterated-lora) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: TareksLab/Cerebro-V1-LLaMa-70B+reissbaker/llama-3.1-70b-abliterated-lora
+dtype: bfloat16
+merge_method: task_arithmetic
+parameters:
+  normalize: false
+slices:
+- sources:
+  - layer_range: [0, 80]
+    model: TareksLab/Cerebro-V1-LLaMa-70B+reissbaker/llama-3.1-70b-abliterated-lora
+    parameters:
+      weight: 1.0
+
+```

config.json

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+{
+  "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": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "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": "4.51.3",
+  "use_cache": true,
+  "vocab_size": 128289
+}

mergekit_config.yml

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+base_model: TareksLab/Cerebro-V1-LLaMa-70B+reissbaker/llama-3.1-70b-abliterated-lora
+dtype: bfloat16
+merge_method: task_arithmetic
+parameters:
+  normalize: false
+slices:
+- sources:
+  - layer_range: [0, 80]
+    model: TareksLab/Cerebro-V1-LLaMa-70B+reissbaker/llama-3.1-70b-abliterated-lora
+    parameters:
+      weight: 1.0

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