---
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.