neura-oss-20b-mxfp4 is a GGUF MXFP4 coding agent model built on top of GPT-OSS 20B and optimized for terminal native software engineering workflows, structured tool use, retrieval-grounded reasoning, and long-session coding tasks.

The model is designed primarily for:

repository navigation code editing and patch generation shell-oriented workflows structured tool calling retrieval-backed context restoration long-running agent sessions Architecture

Base architecture:

GPT-OSS 20B Mixture-of-Experts (MoE) MXFP4 quantization 131k context length GGUF runtime format

Model metadata:

24 transformer blocks 32 experts 4 active experts per token GPT-4o tokenizer format YaRN rope scaling Intended Usage

This model is intended to be paired with the neura runtime and orchestration layer:

exact-context replay context vault references dynamic tool schema expansion persistent memory systems multi-tool agent execution

It performs best in iterative:

edit → test → repair

coding workflows.

Prompting

Example system prompt:

You are Neura, a terminal-native coding agent.

Repository state:

Task:

Fix the websocket reconnect logic without breaking auth refresh behavior. Runtime Compatibility

Optimized for:

llama.cpp Ollama OpenAI-compatible local servers terminal coding agents structured tool runtimes Notes

neura-oss-20b-mxfp4 is optimized more heavily for:

coding workflows orchestration stability structured reasoning retrieval-grounded operation long-session memory behavior

than for:

roleplay creative writing unrestricted conversational chat Runtime

GitHub:

https://github.com/icedmoca/neura

icedmoca/neura-oss-20b-mxfp4

neura-oss-20b-mxfp4