Neural Chat 7B v3.1 GGUF
| Property | Value |
|---|---|
| Parameter Count | 7.24B |
| Base Model | Mistral-7B-v0.1 |
| License | Apache 2.0 |
| Author | Intel/TheBloke |
| Quantization Formats | Multiple GGUF variants (2-bit to 8-bit) |
What is neural-chat-7B-v3-1-GGUF?
Neural Chat 7B v3.1 GGUF is Intel's advanced language model, fine-tuned on the SlimOrca dataset and optimized using the DPO (Direct Preference Optimization) algorithm. This GGUF version, quantized by TheBloke, offers multiple compression levels for efficient deployment across different hardware configurations.
Implementation Details
The model is available in various quantization formats, from 2-bit to 8-bit precision, allowing users to balance between model size and performance. The Q4_K_M variant (4-bit) is recommended for general use, offering a good balance between quality and resource requirements.
- Multiple quantization options ranging from 3.08GB to 7.70GB in size
- Supports GPU layer offloading for optimized performance
- Compatible with llama.cpp and various UI implementations
- Improved average metrics across 7 benchmark tasks compared to base Mistral-7B
Core Capabilities
- Strong performance in reasoning tasks (66.21% on ARC)
- Enhanced truthfulness (59.65% on TruthfulQA)
- Improved mathematical reasoning (19.56% on GSM8K)
- Effective text completion and chat functionality
Frequently Asked Questions
Q: What makes this model unique?
This model combines Intel's fine-tuning expertise with TheBloke's quantization prowess, offering superior performance compared to the base Mistral model while providing multiple optimization options for different deployment scenarios.
Q: What are the recommended use cases?
The model is well-suited for chat applications, reasoning tasks, and general language understanding. The various quantization options make it adaptable for both resource-constrained environments and high-performance systems.
