base_model, datasets, inference, language, library_name, license, model_creator, model_name, pipeline_tag, quantized_by, tags

base_model	datasets	inference	language	library_name	license	model_creator	model_name	pipeline_tag	quantized_by	tags
M4-ai/Orca-2.0-Tau-1.8B	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	true	en	transformers	other	M4-ai	Orca-2.0-Tau-1.8B	text-generation	afrideva	gguf ggml quantized

Orca-2.0-Tau-1.8B-GGUF

Quantized GGUF model files for Orca-2.0-Tau-1.8B from M4-ai

Original Model Card:

Hercules-Mini-1.8B

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

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

Uses

General purpose assistant, question answering, chain-of-thought, etc..

Recommendations

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.