1,552 Downloads Updated 1 month ago
ollama run jikepjikep_16HEX/gemma-4-4b-nightshift-heretic-uncensored-q6
ollama launch claude --model jikepjikep_16HEX/gemma-4-4b-nightshift-heretic-uncensored-q6
ollama launch opencode --model jikepjikep_16HEX/gemma-4-4b-nightshift-heretic-uncensored-q6
ollama launch hermes --model jikepjikep_16HEX/gemma-4-4b-nightshift-heretic-uncensored-q6
ollama launch openclaw --model jikepjikep_16HEX/gemma-4-4b-nightshift-heretic-uncensored-q6
π§ Reasoning Engine The model is configured for structured reasoning workflows using its supported thinking channel:
<|think|> This enables an explicit reasoning stage for tasks requiring:
π§© Problem decomposition π Logical analysis π Algorithmic reasoning π§ Constraint evaluation π οΈ Technical troubleshooting π» Code analysis π Structured document processing Note: a low-temperature configuration can make generation more consistent, but it does not guarantee factual correctness or eliminate hallucinations.
π οΈ Native Tool Calling A primary positioning of this build is tool-oriented local AI.
Suitable workflows include:
π§ Function Calling π¦ Structured JSON π₯οΈ CLI automation π€ Coding agents π Tool-driven workflows π External API integration π File and project operations βοΈ Local development automation The exact tool interface depends on the Ollama runtime and the agent/frontend integrating the model.
π» Coding & Systems Engineering The model is positioned for compact, local software-engineering workflows, including:
π¦ Rust Rust code generation code review refactoring debugging ownership / borrowing analysis lifetime reasoning low-level systems programming π§ Linux Bash / shell workflows CLI automation system configuration process and filesystem operations development environments local AI tooling πͺ Windows PowerShell Windows CLI automation development tooling local inference workflows βοΈ Systems-Level Work memory-aware programming binary and bitwise operations data structures algorithm optimization low-level debugging performance-oriented code analysis The modelβs suitability for a programming language comes from its learned capabilities and prompting/tool environment; it should not be interpreted as a guarantee of compiler-level correctness.
π€ AI Coding Agents & Developer Workflows This model is intended for integration into local coding-agent environments such as:
Claude Code OpenCode OpenClaw Hermes Agent Ollama-based local agents Terminal AI workflows.
π Nightshift Heretic β‘ #16HEX Matrix π οΈ Local AI Engineering π Edge AI / Coding Agents π 16 HEX MATRIX π
If the Nightshift Heretic π models are useful to you and you would like to support 16 HEX Matrix / Eastern IT School, you can buy me a coffee with Monero (XMR).
π£ Monero (XMR)
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XMR Address:
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Your support helps fund the development, testing, hardware and maintenance of the 16 HEX Matrix / Eastern IT School Nightshift Heretic π local AI model series.
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