AI Models Available on DIN

The Distributed Inference Network (DIN) by NeurochainAI provides access to a selection of optimized, high-performance AI models for various applications, including language understanding, instruction following, and specialized tasks.

Below is the current list of AI models available on DIN.

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Available Models

1. Open Llama Series

   • open-llama-3b-v2-instruct-Q8_0-GGUF

   • Meta-Llama-3.1-8B-Instruct-Q8_0.gguf

   • Meta-Llama-3.1-8B-Instruct-Q6_K.gguf

   Description: The Open Llama models are designed for versatile instruction-following tasks and support various applications in natural language understanding and generation.

2. Mistral Series

   • Mistral-7B-Instruct-v0.2-GPTQ-Neurochain-custom-io

   • Mistral-7B-Instruct-v0.2-GPTQ-Neurochain-custom

   • Mistral-7B-OpenOrca-GPTQ

   • Mistral-7B-Instruct-v0.1-gguf-q8_0.gguf

   • Mistral-7B-Instruct-v0.2-GPTQ

   Description: The Mistral models are specialized for precise instruction-following, with adaptations and custom fine-tuning by NeurochainAI.

3. Flux Model

   • flux1-schnell-gguf

   Description: Flux1 Schnell is a high-performance model optimized with GGUF for fast, cost-effective inference. This model is suitable for a range of applications where speed and efficiency are essential, benefiting from advanced 8-bit, 6-bit, and 4-bit quantization.

4. SentimentAI

• Description: SentimentAI is a NeurochainAI implementation for monitoring sentiment in Telegram group chats and collecting data. It identifies positive, negative, and neutral sentiments within messages, making it a powerful tool for tracking group sentiment and gathering community insights in real time. SentimentAI is ideal for businesses or communities looking to monitor sentiment dynamics effortlessly.

1. Specialized Models

• ingredient-extractor-mistral-7b-instruct-v0.1-gguf-q8_0.gguf

Description: A specialized model designed to extract specific information, such as ingredient lists, from text.