metadata

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 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.