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Model: Andycurrent/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC-GGUF
Source: Original Platform

README.md

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+---
+license: other
+language:
+- en
+tags:
+- gguf
+- mistral
+- mistral-nemo
+- local-inference
+- reasoning
+- uncensored
+- text-generation
+pipeline_tag: text-generation
+library_name: llama.cpp
+base_model: mistral-nemo-2407
+---
+
+# HERETIC – Mistral-Nemo 2407 12B Thinking (GGUF)
+
+HERETIC is a reasoning-oriented variant of the **Mistral-Nemo 2407 12B** architecture distributed in **GGUF format** for efficient local inference.  
+The model is intended for users who want a flexible conversational assistant capable of analytical reasoning, long-form explanations, and open-ended dialogue while running entirely on local hardware.
+
+This repository provides quantized versions optimized for **llama.cpp–based runtimes** and other compatible inference tools.
+
+---
+
+# Model Details
+
+**Model Name:** Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC  
+**Architecture:** Mistral-Nemo (12B parameters)  
+**Format:** GGUF  
+**Base Model:** Mistral-Nemo-2407  
+**Distribution:** Quantized builds for local inference  
+**Primary Capability:** Instruction-following with extended reasoning and conversational flexibility
+
+HERETIC focuses on encouraging multi-step reasoning and detailed responses while maintaining a natural conversational style.
+
+---
+
+# Intended Use
+
+This model is designed primarily for **local deployments** and experimentation.
+
+Typical use cases include:
+
+- Personal AI assistants
+- Coding help and technical explanations
+- Analytical reasoning tasks
+- Brainstorming and creative writing
+- Prompt engineering and LLM experimentation
+- Offline or privacy-focused AI workflows
+
+---
+
+# Out-of-Scope Use
+
+The model should not be relied upon for:
+
+- Legal advice
+- Medical advice
+- Safety-critical decision making
+- Automated moderation systems
+
+Outputs may contain inaccuracies or biased information.
+
+---
+
+# Prompt Format
+
+The model works best with structured role-based prompts.
+
+Example conversation template:
+
+```
+
+<|system|>
+You are a helpful AI assistant.
+
+<|user|>
+Explain how neural networks learn.
+
+<|assistant|>
+
+```
+
+Some interfaces automatically apply a compatible chat template.
+
+---
+
+# Running the Model
+
+This model uses the **GGUF format**, making it compatible with several local inference tools.
+
+## llama.cpp
+
+Example command:
+
+```bash
+./llama.exe -m Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC_Q4_K_M.gguf -p "Explain quantum computing in simple terms."
+```
+
+---
+
+# Limitations
+
+Like most large language models:
+
+- The model can generate incorrect information.
+- It may hallucinate facts or citations.
+- Output quality depends heavily on prompt design.
+- Responses reflect biases present in training data.
+
+Users should critically evaluate outputs before relying on them.
+
+---
+
+# Acknowledgements
+
+This model builds on contributions from several open-source projects:
+
+- The **Mistral** research team for the underlying architecture
+- The **llama.cpp** ecosystem enabling efficient local inference
+- The **GGUF format** used for optimized model distribution
+- The open-source community that develops tools for local LLM deployment
+
+---
+
+# Disclaimer
+
+This model is provided for **research, experimentation, and local use**.
+Users are responsible for ensuring that deployments comply with applicable laws and the licensing terms of the underlying base model.