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README.md

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+---
+base_model:
+- nbeerbower/llama-3-stella-8B
+- defog/llama-3-sqlcoder-8b
+- nbeerbower/llama-3-gutenberg-8B
+- openchat/openchat-3.6-8b-20240522
+- Kukedlc/NeuralLLaMa-3-8b-DT-v0.1
+- cstr/llama3-8b-spaetzle-v20
+- mlabonne/ChimeraLlama-3-8B-v3
+- flammenai/Mahou-1.1-llama3-8B
+- KingNish/KingNish-Llama3-8b
+tags:
+- merge
+- mergekit
+- lazymergekit
+- nbeerbower/llama-3-stella-8B
+- defog/llama-3-sqlcoder-8b
+- nbeerbower/llama-3-gutenberg-8B
+- openchat/openchat-3.6-8b-20240522
+- Kukedlc/NeuralLLaMa-3-8b-DT-v0.1
+- cstr/llama3-8b-spaetzle-v20
+- mlabonne/ChimeraLlama-3-8B-v3
+- flammenai/Mahou-1.1-llama3-8B
+- KingNish/KingNish-Llama3-8b
+---
+
+# llama-3-luminous-merged
+
+llama-3-luminous-merged is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [nbeerbower/llama-3-stella-8B](https://huggingface.co/nbeerbower/llama-3-stella-8B)
+* [defog/llama-3-sqlcoder-8b](https://huggingface.co/defog/llama-3-sqlcoder-8b)
+* [nbeerbower/llama-3-gutenberg-8B](https://huggingface.co/nbeerbower/llama-3-gutenberg-8B)
+* [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522)
+* [Kukedlc/NeuralLLaMa-3-8b-DT-v0.1](https://huggingface.co/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1)
+* [cstr/llama3-8b-spaetzle-v20](https://huggingface.co/cstr/llama3-8b-spaetzle-v20)
+* [mlabonne/ChimeraLlama-3-8B-v3](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3)
+* [flammenai/Mahou-1.1-llama3-8B](https://huggingface.co/flammenai/Mahou-1.1-llama3-8B)
+* [KingNish/KingNish-Llama3-8b](https://huggingface.co/KingNish/KingNish-Llama3-8b)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: NousResearch/Meta-Llama-3-8B
+    # No parameters necessary for base model
+  - model: nbeerbower/llama-3-stella-8B
+    parameters:
+      density: 0.6
+      weight: 0.16
+  - model: defog/llama-3-sqlcoder-8b
+    parameters:
+      density: 0.56
+      weight: 0.1
+  - model: nbeerbower/llama-3-gutenberg-8B
+    parameters:
+      density: 0.6
+      weight: 0.18
+  - model: openchat/openchat-3.6-8b-20240522
+    parameters:
+      density: 0.56
+      weight: 0.13
+  - model: Kukedlc/NeuralLLaMa-3-8b-DT-v0.1
+    parameters:
+      density: 0.58
+      weight: 0.18
+  - model: cstr/llama3-8b-spaetzle-v20
+    parameters:
+      density: 0.56
+      weight: 0.08
+  - model: mlabonne/ChimeraLlama-3-8B-v3
+    parameters:
+      density: 0.56
+      weight: 0.07
+  - model: flammenai/Mahou-1.1-llama3-8B
+    parameters:
+      density: 0.55
+      weight: 0.05
+  - model: KingNish/KingNish-Llama3-8b
+    parameters:
+      density: 0.55
+      weight: 0.05
+merge_method: dare_ties
+base_model: NousResearch/Meta-Llama-3-8B
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "BlackBeenie/llama-3-luminous-merged"
+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"])
+```