Nous-Hermes-2-SOLAR-10.7B-GGUF
| Property | Value |
|---|---|
| Base Model | SOLAR 10.7B |
| Training Data | 1M GPT-4 generated entries |
| Format | GGUF (Various quantizations) |
| Context Length | 4096 tokens |
| Chat Format | ChatML |
What is Nous-Hermes-2-SOLAR-10.7B-GGUF?
Nous-Hermes-2-SOLAR-10.7B-GGUF is NousResearch's flagship model built on the SOLAR 10.7B architecture, optimized for chat and instruction-following tasks. This GGUF version, created by TheBloke, offers various quantization options from 2-bit to 8-bit, making it accessible for different hardware configurations while maintaining impressive performance.
Implementation Details
The model implements the ChatML format for structured dialogue, supporting system prompts for enhanced control over model behavior. It features multiple quantization options, with file sizes ranging from 4.55GB (Q2_K) to 11.40GB (Q8_0), allowing users to balance quality and resource requirements.
- Comprehensive quantization options (Q2_K through Q8_0)
- Optimized for both CPU and GPU inference
- Compatible with popular frameworks like llama.cpp
- Supports system prompts for better control
Core Capabilities
- Strong performance across multiple benchmarks (74.69% on GPT4All)
- Enhanced reasoning and analytical abilities (47.79% on AGI-Eval)
- Improved truthfulness (55.92% on TruthfulQA)
- Versatile dialogue and instruction following
Frequently Asked Questions
Q: What makes this model unique?
The model combines the powerful SOLAR architecture with extensive GPT-4 generated training data, offering superior performance while providing multiple quantization options for different hardware configurations. It shows significant improvements over the base SOLAR model across all benchmarks.
Q: What are the recommended use cases?
It's particularly well-suited for chat applications, instruction-following tasks, and general-purpose AI assistance. The recommended Q4_K_M quantization offers a good balance between quality and resource usage for most applications.
