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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- liminerity/M7-7b
+- Kukedlc/NeuralSirKrishna-7b
+- Kukedlc/MyModelsMerge-7b
+- AurelPx/Percival_01-7b-slerp
+- MatthieuJ/Jason1903_SLERP
+- MTSAIR/multi_verse_model
+- Gille/StrangeMerges_30-7B-slerp
+- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
+- yam-peleg/Experiment28-7B
+- mlabonne/UltraMerge-7B
+base_model:
+- liminerity/M7-7b
+- Kukedlc/NeuralSirKrishna-7b
+- Kukedlc/MyModelsMerge-7b
+- AurelPx/Percival_01-7b-slerp
+- MatthieuJ/Jason1903_SLERP
+- MTSAIR/multi_verse_model
+- Gille/StrangeMerges_30-7B-slerp
+- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
+- yam-peleg/Experiment28-7B
+- mlabonne/UltraMerge-7B
+---
+
+# SomeModelsMerge-7b
+
+SomeModelsMerge-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
+* [Kukedlc/NeuralSirKrishna-7b](https://huggingface.co/Kukedlc/NeuralSirKrishna-7b)
+* [Kukedlc/MyModelsMerge-7b](https://huggingface.co/Kukedlc/MyModelsMerge-7b)
+* [AurelPx/Percival_01-7b-slerp](https://huggingface.co/AurelPx/Percival_01-7b-slerp)
+* [MatthieuJ/Jason1903_SLERP](https://huggingface.co/MatthieuJ/Jason1903_SLERP)
+* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
+* [Gille/StrangeMerges_30-7B-slerp](https://huggingface.co/Gille/StrangeMerges_30-7B-slerp)
+* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO)
+* [yam-peleg/Experiment28-7B](https://huggingface.co/yam-peleg/Experiment28-7B)
+* [mlabonne/UltraMerge-7B](https://huggingface.co/mlabonne/UltraMerge-7B)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: liminerity/M7-7b
+    # no parameters necessary for base model
+  - model: liminerity/M7-7b
+    parameters:
+      weight: 0.2
+      density: 0.88
+  - model: Kukedlc/NeuralSirKrishna-7b
+    parameters:
+      weight: 0.1
+      density: 0.66
+  - model: Kukedlc/MyModelsMerge-7b
+    parameters:
+      weight: 0.1
+      density: 0.66
+  - model: AurelPx/Percival_01-7b-slerp
+    parameters:
+      weight: 0.1
+      density: 0.33
+  - model: MatthieuJ/Jason1903_SLERP
+    parameters:
+      weight: 0.1
+      density: 0.33
+  - model: MTSAIR/multi_verse_model
+    parameters:
+      weight: 0.1
+      density: 0.66
+  - model: Gille/StrangeMerges_30-7B-slerp
+    parameters:
+      weight: 0.1
+      density: 0.55
+  - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
+    parameters:
+      weight: 0.1
+      density: 0.22
+  - model: yam-peleg/Experiment28-7B
+    parameters:
+      weight: 0.1
+      density: 0.44
+  - model: mlabonne/UltraMerge-7B
+    parameters:
+      weight: 0.1
+      density: 0.77
+merge_method: dare_ties
+base_model: liminerity/M7-7b
+
+parameters:
+  int8_mask: true
+  normalize: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Kukedlc/SomeModelsMerge-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": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+models:
+  - model: liminerity/M7-7b
+    # no parameters necessary for base model
+  - model: liminerity/M7-7b
+    parameters:
+      weight: 0.2
+      density: 0.88
+  - model: Kukedlc/NeuralSirKrishna-7b
+    parameters:
+      weight: 0.1
+      density: 0.66
+  - model: Kukedlc/MyModelsMerge-7b
+    parameters:
+      weight: 0.1
+      density: 0.66
+  - model: AurelPx/Percival_01-7b-slerp
+    parameters:
+      weight: 0.1
+      density: 0.33
+  - model: MatthieuJ/Jason1903_SLERP
+    parameters:
+      weight: 0.1
+      density: 0.33
+  - model: MTSAIR/multi_verse_model
+    parameters:
+      weight: 0.1
+      density: 0.66
+  - model: Gille/StrangeMerges_30-7B-slerp
+    parameters:
+      weight: 0.1
+      density: 0.55
+  - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
+    parameters:
+      weight: 0.1
+      density: 0.22
+  - model: yam-peleg/Experiment28-7B
+    parameters:
+      weight: 0.1
+      density: 0.44
+  - model: mlabonne/UltraMerge-7B
+    parameters:
+      weight: 0.1
+      density: 0.77
+merge_method: dare_ties
+base_model: liminerity/M7-7b
+
+parameters:
+  int8_mask: true
+  normalize: true
+dtype: bfloat16

model-00001-of-00002.safetensors

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