DeepHermes-3-Mistral-24B-Preview-GGUF
| Property | Value |
|---|---|
| Base Model | Mistral 24B |
| Quantization Variants | Q4 (13GB), Q5 (16GB), Q6 (19GB), Q8 (24GB) |
| Authors | NousResearch |
| Model Hub | Hugging Face |
What is DeepHermes-3-Mistral-24B-Preview-GGUF?
DeepHermes-3-Mistral-24B-Preview-GGUF is a groundbreaking quantized language model that uniquely combines traditional LLM responses with advanced reasoning capabilities. It represents the latest evolution in the Hermes series, offering efficient inference through GGUF quantization while maintaining high performance.
Implementation Details
The model implements a novel dual-mode system where users can toggle between standard responses and deep reasoning mode through specific system prompts. It utilizes the Llama-Chat format for structured dialogue and supports advanced features like function calling and JSON mode for structured outputs.
- Multiple quantization options for different performance/size trade-offs
- Compatible with llama.cpp and vLLM inference frameworks
- Supports flash attention 2 for improved performance
- Implements structured function calling with JSON schema support
Core Capabilities
- Unified reasoning and traditional response modes
- Advanced agentic capabilities and improved roleplaying
- Enhanced multi-turn conversation handling
- Long context coherence
- Systematic reasoning processes with internal monologue
- Function calling with structured outputs
Frequently Asked Questions
Q: What makes this model unique?
This model is one of the first to unify intuitive responses and chain-of-thought reasoning into a single model, controllable via system prompts. It also features advanced function calling capabilities and improved judgment abilities.
Q: What are the recommended use cases?
The model excels in scenarios requiring deep reasoning, multi-turn conversations, roleplaying, and structured output generation. It's particularly suitable for applications needing both quick responses and detailed analytical thinking.
