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Ava-1.0-12B

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metadata
base_model:
  - mistralai/Mistral-Nemo-Instruct-2407
library_name: transformers
license: apache-2.0
datasets:
  - nvidia/HelpSteer2
tags:
  - unsloth

Header

Ava 1.0

Ava 1.0 is a cutting-edge conversational AI model, fine-tuned from Mistral's NeMo to deliver exceptional conversational capabilities. Designed to be your go-to AI for engaging, accurate, and context-aware dialogues, Ava 1.0 incorporates updated knowledge and enhanced natural language understanding to provide an unparalleled user experience.

Key Features

  • Enhanced Conversational Skills: Ava 1.0 demonstrates fluid and human-like dialogue generation with improved contextual understanding.
  • Updated Knowledge Base: Trained on the latest datasets, Ava 1.0 ensures responses are relevant and informed.
  • Multi-Turn Conversation: Handles complex, multi-turn interactions seamlessly, maintaining coherence and focus.
  • Personalized Assistance: Adapts responses based on user preferences and context.
  • Multilingual Support: Capable of understanding and responding in multiple languages with high accuracy.

Why Ava 1.0?

Ava 1.0 is built to excel in a wide range of applications:

  • Customer Support: Provides intelligent, empathetic, and accurate responses to customer queries.
  • Education: Acts as an interactive tutor, offering explanations and personalized guidance.
  • Personal Assistance: Supports daily tasks, scheduling, and answering general queries with ease.
  • Creative Collaboration: Assists with brainstorming, writing, and other creative processes.

Usage

Using Ava 1.0 in your project is straightforward. Here’s a quick setup guide:

Installation

Ensure you have the necessary libraries and dependencies installed. Use the following command:

pip install transformers

Implementation

Here’s a sample Python script to interact with Ava 1.0:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Spestly/Ava-12B")

#OR

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Spestly/Ava-12B")
model = AutoModelForCausalLM.from_pretrained("Spestly/Ava-12B")

Prompt format

Ava uses the Alpaca chat template as its prompt format!

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

Training Highlights

Ava 1.0 was fine-tuned with the following enhancements:

  1. Extensive Conversational Dataset: Leveraging a wide array of open-domain and specialized conversational datasets.
  2. Knowledge Integration: Incorporating recent advancements and updates to provide cutting-edge insights.
  3. Fine-Tuning on Mistral NeMo: Utilizing the powerful Mistral NeMo framework for robust and efficient training.

Limitations

  • Contextual Challenges: In rare cases, Ava 1.0 may misinterpret ambiguous inputs.
  • Hardware Requirements: Optimal performance requires a robust system with GPU acceleration.

Roadmap

  • Ava 2.0: Introducing real-time learning capabilities and broader conversational adaptability.
  • Lightweight Model: Developing a lightweight version optimized for edge devices.
  • Domain-Specific Fine-Tunes: Specialized versions for industries like healthcare, education, and finance.

License

Ava 1.0 is released under the Apache 2.0 license.

Contact

For inquiries, feedback, or support, feel free to reach out: