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Quantization made by Richard Erkhov. |
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[Github](https://github.com/RichardErkhov) |
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[Discord](https://discord.gg/pvy7H8DZMG) |
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[Request more models](https://github.com/RichardErkhov/quant_request) |
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NeuralOmniWestBeaglake-7B - GGUF |
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- Model creator: https://huggingface.co/paulml/ |
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- Original model: https://huggingface.co/paulml/NeuralOmniWestBeaglake-7B/ |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [NeuralOmniWestBeaglake-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q2_K.gguf) | Q2_K | 2.53GB | |
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| [NeuralOmniWestBeaglake-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB | |
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| [NeuralOmniWestBeaglake-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ3_S.gguf) | IQ3_S | 2.96GB | |
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| [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 | |
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| [NeuralOmniWestBeaglake-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ3_M.gguf) | IQ3_M | 3.06GB | |
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| [NeuralOmniWestBeaglake-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q3_K.gguf) | Q3_K | 3.28GB | |
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| [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 | |
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| [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 | |
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| [NeuralOmniWestBeaglake-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB | |
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| [NeuralOmniWestBeaglake-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q4_0.gguf) | Q4_0 | 3.83GB | |
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| [NeuralOmniWestBeaglake-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB | |
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| [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 | |
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| [NeuralOmniWestBeaglake-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q4_K.gguf) | Q4_K | 4.07GB | |
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| [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 | |
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| [NeuralOmniWestBeaglake-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q4_1.gguf) | Q4_1 | 4.24GB | |
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| [NeuralOmniWestBeaglake-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q5_0.gguf) | Q5_0 | 4.65GB | |
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| [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 | |
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| [NeuralOmniWestBeaglake-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q5_K.gguf) | Q5_K | 4.78GB | |
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| [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 | |
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| [NeuralOmniWestBeaglake-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q5_1.gguf) | Q5_1 | 5.07GB | |
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| [NeuralOmniWestBeaglake-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q6_K.gguf) | Q6_K | 5.53GB | |
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| [NeuralOmniWestBeaglake-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/paulml_-_NeuralOmniWestBeaglake-7B-gguf/blob/main/NeuralOmniWestBeaglake-7B.Q8_0.gguf) | Q8_0 | 7.17GB | |
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Original model description: |
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--- |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- shadowml/WestBeagle-7B |
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- shadowml/Beaglake-7B |
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- mlabonne/NeuralOmniBeagle-7B |
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base_model: |
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- shadowml/WestBeagle-7B |
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- shadowml/Beaglake-7B |
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- mlabonne/NeuralOmniBeagle-7B |
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license: cc-by-nc-4.0 |
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--- |
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# NeuralOmniWestBeaglake-7B |
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NeuralOmniWestBeaglake-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [shadowml/WestBeagle-7B](https://huggingface.co/shadowml/WestBeagle-7B) |
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* [shadowml/Beaglake-7B](https://huggingface.co/shadowml/Beaglake-7B) |
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* [mlabonne/NeuralOmniBeagle-7B](https://huggingface.co/mlabonne/NeuralOmniBeagle-7B) |
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## 🧩 Configuration |
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```yaml |
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models: |
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- model: mistralai/Mistral-7B-v0.1 |
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# no parameters necessary for base model |
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- model: shadowml/WestBeagle-7B |
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parameters: |
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density: 0.65 |
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weight: 0.4 |
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- model: shadowml/Beaglake-7B |
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parameters: |
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density: 0.6 |
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weight: 0.35 |
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- model: mlabonne/NeuralOmniBeagle-7B |
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parameters: |
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density: 0.6 |
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weight: 0.45 |
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merge_method: dare_ties |
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base_model: mistralai/Mistral-7B-v0.1 |
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parameters: |
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int8_mask: true |
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dtype: float16 |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "paulml/NeuralOmniWestBeaglake-7B" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
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