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README.md

@@ -1,3 +1,36 @@
 ---
 license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- AIDC-ai-business/Marcoroni-7B-v3
+- EmbeddedLLM/Mistral-7B-Merge-14-v0.1
 ---
+
+# Marcoro14-7B-slerp
+
+Marcoro14-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [AIDC-ai-business/Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3)
+* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
+
+## 🧩 Configuration
+
+\```yaml
+slices:
+  - sources:
+      - model: AIDC-ai-business/Marcoroni-7B-v3
+        layer_range: [0, 32]
+      - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: AIDC-ai-business/Marcoroni-7B-v3
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+\```

config.json

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+{
+  "_name_or_path": "psmathur/orca_mini_v3_13b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

config.yaml

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+
+slices:
+  - sources:
+      - model: AIDC-ai-business/Marcoroni-7B-v3
+        layer_range: [0, 32]
+      - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: AIDC-ai-business/Marcoroni-7B-v3
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16

mergekit_config.yml

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+slices:
+  - sources:
+      - model: psmathur/orca_mini_v3_13b
+        layer_range: [0, 40]
+      - model: garage-bAInd/Platypus2-13B
+        layer_range: [0, 40]
+# or, the equivalent models: syntax:
+# models:
+#   - model: psmathur/orca_mini_v3_13b
+#   - model: garage-bAInd/Platypus2-13B
+merge_method: slerp
+base_model: psmathur/orca_mini_v3_13b
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: float16

model-00001-of-00003.safetensors

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model.safetensors.index.json

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