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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- automerger
+base_model:
+- liminerity/M7-7b
+- AurelPx/Percival_01-7b-slerp
+---
+
+## 🧩 Configuration
+```yaml
+slices:
+  - sources:
+      - model: liminerity/M7-7b
+        layer_range: [0, 32]
+      - model: AurelPx/Percival_01-7b-slerp
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: liminerity/M7-7b
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.7891700423251602, 0.8172654798412489, 0.8067468290949877, 0.9014157614558826, 0.4508088906552974]
+    - filter: mlp
+      value: [0.2108299576748398, 0.18273452015875113, 0.09858423854411735, 0.09858423854411735, 0.5491911093447026]
+    - value: 0.45902845935178127
+dtype: bfloat16
+random_seed: 0
+    ```
+## 💻 Usage
+```python
+!pip install -qU transformers accelerate
+from transformers import AutoTokenizer
+import transformers
+import torch
+model = "aaron-di/Yamshadowexperiment28M70.79-0.82-0.81-0.9-0.45-0.46-7B"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "liminerity/M7-7b",
+  "add_gates": false,
+  "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": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: liminerity/M7-7b
+        layer_range: [0, 32]
+      - model: AurelPx/Percival_01-7b-slerp
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: liminerity/M7-7b
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.7891700423251602, 0.8172654798412489, 0.8067468290949877, 0.9014157614558826, 0.4508088906552974]
+    - filter: mlp
+      value: [0.2108299576748398, 0.18273452015875113, 0.09858423854411735, 0.09858423854411735, 0.5491911093447026]
+    - value: 0.45902845935178127
+dtype: bfloat16
+random_seed: 0
+    

model-00001-of-00002.safetensors

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+oid sha256:2290cb3212c04d5648fcdddfded5d4391f8911b7dec3cd9581a0ab2b1a54674e
+size 9825524456

model-00002-of-00002.safetensors

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+oid sha256:a7f91fe6ad5fd1222b6998564c51bb0943138426be00f71f68b112228a81e938
+size 4657973592

model.safetensors.index.json

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