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README.md

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+---
+tags:
+- merge
+- mergekit
+- cognitivecomputations/dolphin-2.9-llama3-8b
+- NousResearch/Hermes-2-Pro-Llama-3-8B
+- abacusai/Llama-3-Smaug-8B
+base_model:
+- cognitivecomputations/dolphin-2.9-llama3-8b
+- NousResearch/Hermes-2-Pro-Llama-3-8B
+- abacusai/Llama-3-Smaug-8B
+---
+
+# aqua-smaug-hermes-8B
+aqua-smaug-hermes-8B is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
+* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
+* [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)
+* [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)
+
+## 🧩 Configuration
+
+```yamlname: aqua-smaug-hermes-8B
+tokenizer_source: union
+base_model:
+  model:
+   path: NousResearch/Hermes-2-Pro-Llama-3-8B
+dtype: float16
+merge_method: dare_linear
+parameters:
+  normalize: 1.0
+slices:
+  - sources:
+    - model: cognitivecomputations/dolphin-2.9-llama3-8b
+      layer_range: [0, 32]
+      parameters:
+        weight: 0.3
+    - model: NousResearch/Hermes-2-Pro-Llama-3-8B
+      layer_range: [0, 32]
+      parameters:
+        weight: 0.4
+    - model: abacusai/Llama-3-Smaug-8B
+      layer_range: [0, 32]
+      parameters:
+        weight: 0.3```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "saucam/aqua-smaug-hermes-8B"
+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": "NousResearch/Hermes-2-Pro-Llama-3-8B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128003,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.40.2",
+  "use_cache": false,
+  "vocab_size": 128296
+}

mergekit_config.yml

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+name: aqua-smaug-hermes-8B
+tokenizer_source: union
+base_model:
+  model:
+   path: NousResearch/Hermes-2-Pro-Llama-3-8B
+dtype: float16
+merge_method: dare_linear
+parameters:
+  normalize: 1.0
+slices:
+  - sources:
+    - model: cognitivecomputations/dolphin-2.9-llama3-8b
+      layer_range: [0, 32]
+      parameters:
+        weight: 0.3
+    - model: NousResearch/Hermes-2-Pro-Llama-3-8B
+      layer_range: [0, 32]
+      parameters:
+        weight: 0.4
+    - model: abacusai/Llama-3-Smaug-8B
+      layer_range: [0, 32]
+      parameters:
+        weight: 0.3

model-00001-of-00002.safetensors

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special_tokens_map.json

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tokenizer_config.json

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