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.
Available Models
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.
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.
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.
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.
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.
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