neural-chat-mini-v2.2-1.8B

neural-chat-mini-v2.2-1.8B

<!-- Provide a quick summary of what the model is/does. -->

We fine-tuned tau-1.8B using SFT and DPOP on a high quality mix for general-purpose assistants.

Model Details

Model Description

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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

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

Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

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
• mlabonne/orpo-dpo-mix-40k

Evaluations

coming soon

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.