uploaded readme

README.md

@@ -0,0 +1,58 @@
+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+minirewrite - bnb 4bits
+- Model creator: https://huggingface.co/kevin009/
+- Original model: https://huggingface.co/kevin009/minirewrite/
+
+
+
+
+Original model description:
+---
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- mistral
+- trl
+---
+
+# Model Card: Minimalist Assistant
+
+## Model Details
+- **Base Model**: Mistral Instruct v2
+- **Tokenizer**: based on Mistral Instruction following
+
+## Intended Use
+- As Editor Assistant for revision and paraphrasing
+- Avoids technical jargon in favor of clear and accessible language
+
+## Training Data
+- **Initial Training**: 14,000 conversations in minimalist style and more accessible language
+  - Dataset: kevin009/system-defined-sft-llama3-14k
+- **Further Training**: 8,000 revision conversations to enhance rewriting and paraphrasing tasks.
+
+## Performance and Limitations
+- **Limitations**:
+  - May produce shorter outputs compared to original version.
+  - Potential biases
+
+## Ethical Considerations
+- Designed for daily use, potential biases from training data should be considered
+- The model does not have implemented safety measures to prevent generation of potentially harmful or offensive content
+
+## Additional Information
+- Fine-tuned to address limitations in writing tasks observed in other models
+- Personalized for everyday use cases
+- Motivation for development was to create a model better suited for writing tasks, as existing models were found lacking in this area
+- SFT fine-tuned model
+