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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+NeuralOmniWestBeaglake-7B - GGUF
+- Model creator: https://huggingface.co/paulml/
+- Original model: https://huggingface.co/paulml/NeuralOmniWestBeaglake-7B/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [NeuralOmniWestBeaglake-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q2_K.gguf) | Q2_K | 2.53GB |
+| [NeuralOmniWestBeaglake-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
+| [NeuralOmniWestBeaglake-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ3_S.gguf) | IQ3_S | 2.96GB |
+| [NeuralOmniWestBeaglake-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
+| [NeuralOmniWestBeaglake-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ3_M.gguf) | IQ3_M | 3.06GB |
+| [NeuralOmniWestBeaglake-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q3_K.gguf) | Q3_K | 3.28GB |
+| [NeuralOmniWestBeaglake-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
+| [NeuralOmniWestBeaglake-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
+| [NeuralOmniWestBeaglake-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
+| [NeuralOmniWestBeaglake-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q4_0.gguf) | Q4_0 | 3.83GB |
+| [NeuralOmniWestBeaglake-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
+| [NeuralOmniWestBeaglake-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
+| [NeuralOmniWestBeaglake-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q4_K.gguf) | Q4_K | 4.07GB |
+| [NeuralOmniWestBeaglake-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
+| [NeuralOmniWestBeaglake-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q4_1.gguf) | Q4_1 | 4.24GB |
+| [NeuralOmniWestBeaglake-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q5_0.gguf) | Q5_0 | 4.65GB |
+| [NeuralOmniWestBeaglake-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
+| [NeuralOmniWestBeaglake-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q5_K.gguf) | Q5_K | 4.78GB |
+| [NeuralOmniWestBeaglake-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
+| [NeuralOmniWestBeaglake-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q5_1.gguf) | Q5_1 | 5.07GB |
+| [NeuralOmniWestBeaglake-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q6_K.gguf) | Q6_K | 5.53GB |
+| [NeuralOmniWestBeaglake-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q8_0.gguf) | Q8_0 | 7.17GB |
+
+
+
+
+Original model description:
+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- shadowml/WestBeagle-7B
+- shadowml/Beaglake-7B
+- mlabonne/NeuralOmniBeagle-7B
+base_model:
+- shadowml/WestBeagle-7B
+- shadowml/Beaglake-7B
+- mlabonne/NeuralOmniBeagle-7B
+license: cc-by-nc-4.0
+---
+
+# NeuralOmniWestBeaglake-7B
+
+NeuralOmniWestBeaglake-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [shadowml/WestBeagle-7B](https://huggingface.co/shadowml/WestBeagle-7B)
+* [shadowml/Beaglake-7B](https://huggingface.co/shadowml/Beaglake-7B)
+* [mlabonne/NeuralOmniBeagle-7B](https://huggingface.co/mlabonne/NeuralOmniBeagle-7B)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: shadowml/WestBeagle-7B
+    parameters:
+      density: 0.65
+      weight: 0.4
+  - model: shadowml/Beaglake-7B
+    parameters:
+      density: 0.6
+      weight: 0.35
+  - model: mlabonne/NeuralOmniBeagle-7B
+    parameters:
+      density: 0.6
+      weight: 0.45
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: float16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "paulml/NeuralOmniWestBeaglake-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"])
+```
+