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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)
+
+
+NeuralSynthesis-7B-v0.2 - bnb 4bits
+- Model creator: https://huggingface.co/Kukedlc/
+- Original model: https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.2/
+
+
+
+
+Original model description:
+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+license: apache-2.0
+---
+
+# NeuralSynthesis-7B-v0.2
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d71ab4089bc502ceb44d29/ID4yrGgmKZzqctPPkT4Dp.png)
+
+NeuralSynthesis-7B-v0.2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: Kukedlc/Fasciculus-Arcuatus-7B-slerp
+  - model: Gille/StrangeMerges_30-7B-slerp
+  - model: automerger/OgnoExperiment27-7B
+  - model: Kukedlc/Jupiter-k-7B-slerp
+  - model: Kukedlc/Neural-4-QA-7b
+  - model: Kukedlc/NeuralSynthesis-7B-v0.1
+merge_method: model_stock
+base_model: Kukedlc/NeuralSynthesis-7B-v0.1
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Kukedlc/NeuralSynthesis-7B-v0.2"
+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"])
+```
+