Files
Mistral-Nemo-2407-12B-Think…/README.md

132 lines
3.4 KiB
Markdown
Raw Normal View History

---
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.