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README.md

@@ -3,19 +3,35 @@ tags:
 - merge
 - mergekit
 - lazymergekit
+- WizardLMTeam/WizardMath-7B-V1.1
+- microsoft/rho-math-7b-interpreter-v0.1
+base_model:
+- WizardLMTeam/WizardMath-7B-V1.1
+- microsoft/rho-math-7b-interpreter-v0.1
 ---
 
 # ganeet-V5
 
 ganeet-V5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [WizardLMTeam/WizardMath-7B-V1.1](https://huggingface.co/WizardLMTeam/WizardMath-7B-V1.1)
+* [microsoft/rho-math-7b-interpreter-v0.1](https://huggingface.co/microsoft/rho-math-7b-interpreter-v0.1)
 
 ## 🧩 Configuration
 
 ```yaml
 models:
-  - model: WizardLMTeam/WizardMath-7B-V1.1  
+  - model: WizardLMTeam/WizardMath-7B-V1.1 
+    parameters:
+      density: 0.5  # fraction of weights in differences from the base model to retain
+      weight:   # weight gradient
+        - filter: mlp
+          value: 0.5
+        - value: 0
   - model: upaya07/Arithmo2-Mistral-7B
   - model: microsoft/rho-math-7b-interpreter-v0.1
+    parameters:
+      density: 0.5
+      weight: 0.5
 merge_method: ties
 base_model: upaya07/Arithmo2-Mistral-7B
 parameters:

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "upaya07/Arithmo2-Mistral-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,20 @@
+
+models:
+  - model: WizardLMTeam/WizardMath-7B-V1.1 
+    parameters:
+      density: 0.5  # fraction of weights in differences from the base model to retain
+      weight:   # weight gradient
+        - filter: mlp
+          value: 0.5
+        - value: 0
+  - model: upaya07/Arithmo2-Mistral-7B
+  - model: microsoft/rho-math-7b-interpreter-v0.1
+    parameters:
+      density: 0.5
+      weight: 0.5
+merge_method: ties
+base_model: upaya07/Arithmo2-Mistral-7B
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16

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