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README.md

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+---
+base_model:
+- unsloth/Mistral-Small-Instruct-2409
+- Kaoeiri/Moingooistrial-22B-V1-Lora
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# 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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [unsloth/Mistral-Small-Instruct-2409](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) + [Kaoeiri/Moingooistrial-22B-V1-Lora](https://huggingface.co/Kaoeiri/Moingooistrial-22B-V1-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
+models:
+  - model: unsloth/Mistral-Small-Instruct-2409+Kaoeiri/Moingooistrial-22B-V1-Lora
+    parameters:
+      weight: 1
+      density: 1  # Adjusted density to target a training loss of 0.3
+
+base_model: unsloth/Mistral-Small-Instruct-2409+Kaoeiri/Moingooistrial-22B-V1-Lora
+merge_method: task_arithmetic
+parameters:
+  normalize: false
+
+dtype: bfloat16
+tokenizer_source: union
+
+```

config.json

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+{
+  "_name_or_path": "unsloth/Mistral-Small-Instruct-2409",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 6144,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 48,
+  "num_hidden_layers": 56,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 32768
+}

mergekit_config.yml

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+models:
+  - model: unsloth/Mistral-Small-Instruct-2409+Kaoeiri/Moingooistrial-22B-V1-Lora
+    parameters:
+      weight: 1
+      density: 1  # Adjusted density to target a training loss of 0.3
+
+base_model: unsloth/Mistral-Small-Instruct-2409+Kaoeiri/Moingooistrial-22B-V1-Lora
+merge_method: task_arithmetic
+parameters:
+  normalize: false
+
+dtype: bfloat16
+tokenizer_source: union

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special_tokens_map.json

@@ -0,0 +1,30 @@
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+}