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README.md

@@ -3,45 +3,30 @@ tags:
 - merge
 - mergekit
 - lazymergekit
-- mistralai/Mistral-7B-Instruct-v0.3
-- Kukedlc/NeuralKrishna-7B-v3
-base_model:
-- mistralai/Mistral-7B-Instruct-v0.3
-- Kukedlc/NeuralKrishna-7B-v3
-- liminerity/M7-7b
 ---
 
-# Mistral3-NeuralKrishna-M7B
+# Mistral3-NeuralKrishna-7B
 
-Mistral3-NeuralKrishna-M7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)
-* [Kukedlc/NeuralKrishna-7B-v3](https://huggingface.co/Kukedlc/NeuralKrishna-7B-v3)
-* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
+Mistral3-NeuralKrishna-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 
 ## 🧩 Configuration
 
 ```yaml
 models:
   - model: mistralai/Mistral-7B-Instruct-v0.3
-    # no parameters necessary for base model
-  - model: mistralai/Mistral-7B-Instruct-v0.3
-    parameters:
-      density: 0.65
-      weight: 0.36
+    layer_range: [0, 32]
   - model: Kukedlc/NeuralKrishna-7B-v3
-    parameters:
-      density: 0.6
-      weight: 0.34
-  - model: liminerity/M7-7b
-    parameters:
-      density: 0.4
-      weight: 0.3
-merge_method: dare_ties
+    layer_range: [0, 32]
+merge_method: slerp
 base_model: mistralai/Mistral-7B-Instruct-v0.3
 parameters:
-  int8_mask: true
+  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
-random_seed: 0
 ```
 
 ## 💻 Usage
@@ -53,7 +38,7 @@ from transformers import AutoTokenizer
 import transformers
 import torch
 
-model = "jsfs11/Mistral3-NeuralKrishna-M7B"
+model = "jsfs11/Mistral3-NeuralKrishna-7B"
 messages = [{"role": "user", "content": "What is a large language model?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "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": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.0",
+  "use_cache": true,
+  "vocab_size": 32768
+}

mergekit_config.yml

@@ -0,0 +1,16 @@
+
+models:
+  - model: mistralai/Mistral-7B-Instruct-v0.3
+    layer_range: [0, 32]
+  - model: Kukedlc/NeuralKrishna-7B-v3
+    layer_range: [0, 32]
+merge_method: slerp
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+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

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special_tokens_map.json

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