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README.md

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+---
+base_model: M4-ai/Orca-2.0-Tau-1.8B
+datasets:
+- Open-Orca/SlimOrca
+- m-a-p/Code-Feedback
+- MaziyarPanahi/WizardLM_evol_instruct_V2_196k
+- camel-ai/math
+- camel-ai/physics
+- camel-ai/biology
+- camel-ai/chemistry
+- LDJnr/Capybara
+- jondurbin/airoboros-3.2
+- microsoft/orca-math-word-problems-200k
+inference: true
+language:
+- en
+library_name: transformers
+license: other
+model_creator: M4-ai
+model_name: Orca-2.0-Tau-1.8B
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- gguf
+- ggml
+- quantized
+---
+
+# Orca-2.0-Tau-1.8B-GGUF
+
+Quantized GGUF model files for [Orca-2.0-Tau-1.8B](https://huggingface.co/M4-ai/Orca-2.0-Tau-1.8B) from [M4-ai](https://huggingface.co/M4-ai)
+
+## Original Model Card:
+
+# Hercules-Mini-1.8B 
+
+<!-- Provide a quick summary of what the model is/does. -->
+We fine-tuned tau-1.8B on a high quality mix for general-purpose assistants. A DPO version of this will be released soon. We use the ChatML prompt format.
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This model has capabilities in math, coding, writing, and more. We fine-tuned it using a high quality mix for general-purpose assistants.
+
+- **Developed by:** M4-ai
+- **Language(s) (NLP):** English and maybe Chinese
+- **License:** tongyi-qianwen license
+- **Finetuned from model:** [tau-1.8B](https://huggingface.co/M4-ai/tau-1.8B)
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+General purpose assistant, question answering, chain-of-thought, etc..
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## Evaluation
+Coming soon
+
+
+## Training Details
+
+### Training Data
+
+- Open-Orca/SlimOrca
+- m-a-p/Code-Feedback
+- MaziyarPanahi/WizardLM_evol_instruct_V2_196k
+- camel-ai/math
+- camel-ai/physics
+- camel-ai/biology
+- camel-ai/chemistry
+- LDJnr/Capybara
+- jondurbin/airoboros-3.2
+- microsoft/orca-math-word-problems-200k
+
+
+#### Training Hyperparameters
+
+- **Training regime:** bf16 non-mixed precision
+## Technical Specifications
+
+#### Hardware
+
+We used 8 Kaggle TPUs, and we trained at a global batch size of 128 and sequence length of 2048.