Neutrino Instruct A 7B parameter instruction tuned language model for conversational AI Model card · Quickstart · Architecture · Limitations · License Model Card Field Value Developer Fardeen NB Model type Autoregressive transformer, decoder only Parameters 7B Base model neuralcrew/neutrino Fine tuning Instruction tuning for multi turn dialogue Language(s) English Format GGUF (quantized for llama.cpp , Ollama , llama cpp python ) License Apache 2.0 Version 2.0 Overview Neutrino Instruct is a 7B parameter language model fine tuned from the Neutrino base model for conversational and instruction following tasks. It is distributed in GGUF format for efficient local inference on consumer hardware via llama.cpp , Ollama , and llama cpp python . The model is designed to hold coherent, contextual dialogue across multiple turns and to follow natural language instructions reliably at chat scale, while remaining light enough to run on a single consumer GPU or CPU only machine. Intended Use Primary use cases Conversational assistants and chatbots Instruction following agents (task completion, Q&A, summarization) Local/offline research prototypes where data cannot leave the device Educational a…
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