uploaded readme

README.md

@@ -0,0 +1,109 @@
+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+TinyQwex-4x620M-MoE - GGUF
+- Model creator: https://huggingface.co/Isotonic/
+- Original model: https://huggingface.co/Isotonic/TinyQwex-4x620M-MoE/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [TinyQwex-4x620M-MoE.Q2_K.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q2_K.gguf) | Q2_K | 0.49GB |
+| [TinyQwex-4x620M-MoE.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.IQ3_XS.gguf) | IQ3_XS | 0.54GB |
+| [TinyQwex-4x620M-MoE.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.IQ3_S.gguf) | IQ3_S | 0.56GB |
+| [TinyQwex-4x620M-MoE.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q3_K_S.gguf) | Q3_K_S | 0.56GB |
+| [TinyQwex-4x620M-MoE.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.IQ3_M.gguf) | IQ3_M | 0.57GB |
+| [TinyQwex-4x620M-MoE.Q3_K.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q3_K.gguf) | Q3_K | 0.6GB |
+| [TinyQwex-4x620M-MoE.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q3_K_M.gguf) | Q3_K_M | 0.6GB |
+| [TinyQwex-4x620M-MoE.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q3_K_L.gguf) | Q3_K_L | 0.64GB |
+| [TinyQwex-4x620M-MoE.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.IQ4_XS.gguf) | IQ4_XS | 0.67GB |
+| [TinyQwex-4x620M-MoE.Q4_0.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q4_0.gguf) | Q4_0 | 0.69GB |
+| [TinyQwex-4x620M-MoE.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.IQ4_NL.gguf) | IQ4_NL | 0.7GB |
+| [TinyQwex-4x620M-MoE.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q4_K_S.gguf) | Q4_K_S | 0.7GB |
+| [TinyQwex-4x620M-MoE.Q4_K.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q4_K.gguf) | Q4_K | 0.73GB |
+| [TinyQwex-4x620M-MoE.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q4_K_M.gguf) | Q4_K_M | 0.73GB |
+| [TinyQwex-4x620M-MoE.Q4_1.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q4_1.gguf) | Q4_1 | 0.76GB |
+| [TinyQwex-4x620M-MoE.Q5_0.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q5_0.gguf) | Q5_0 | 0.82GB |
+| [TinyQwex-4x620M-MoE.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q5_K_S.gguf) | Q5_K_S | 0.82GB |
+| [TinyQwex-4x620M-MoE.Q5_K.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q5_K.gguf) | Q5_K | 0.84GB |
+| [TinyQwex-4x620M-MoE.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q5_K_M.gguf) | Q5_K_M | 0.84GB |
+| [TinyQwex-4x620M-MoE.Q5_1.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q5_1.gguf) | Q5_1 | 0.88GB |
+| [TinyQwex-4x620M-MoE.Q6_K.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q6_K.gguf) | Q6_K | 0.96GB |
+| [TinyQwex-4x620M-MoE.Q8_0.gguf](https://huggingface.co/RichardErkhov/Isotonic_-_TinyQwex-4x620M-MoE-gguf/blob/main/TinyQwex-4x620M-MoE.Q8_0.gguf) | Q8_0 | 1.24GB |
+
+
+
+
+Original model description:
+---
+license: apache-2.0
+tags:
+- moe
+- merge
+- mergekit
+- lazymergekit
+- Qwen/Qwen1.5-0.5B
+---
+
+# TinyQwex-4x620M-MoE
+
+TinyQwex-4x620M-MoE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
+* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
+* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
+* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
+
+🌟 Buying me coffee is a direct way to show support for this project. 
+<a href="https://www.buymeacoffee.com/isotonic"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a>
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate eniops
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Isotonic/TinyQwex-4x620M-MoE"
+
+tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen1.5-0.5B")
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.bfloat16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+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"])
+```
+
+## 🧩 Configuration
+
+```yamlbase_model: Qwen/Qwen1.5-0.5B
+experts:
+  - source_model: Qwen/Qwen1.5-0.5B
+    positive_prompts:
+    - "reasoning"
+
+  - source_model: Qwen/Qwen1.5-0.5B
+    positive_prompts:
+    - "program"
+
+  - source_model: Qwen/Qwen1.5-0.5B
+    positive_prompts:
+    - "storytelling"
+
+  - source_model: Qwen/Qwen1.5-0.5B
+    positive_prompts:
+    - "Instruction following assistant"
+```
+