Nous-Hermes-llama-2-7b
| Property | Value |
|---|---|
| Parameter Count | 6.74B |
| Model Type | Language Model (LLaMA-2 based) |
| License | MIT |
| Training Format | Sequence length 4096 |
| Tensor Type | BF16 |
What is Nous-Hermes-llama-2-7b?
Nous-Hermes-llama-2-7b is a state-of-the-art language model developed by Nous Research, built upon the LLaMA-2 architecture and fine-tuned on an extensive dataset of over 300,000 instructions. The model represents a significant advancement in AI language processing, particularly notable for its enhanced capabilities in generating long-form responses while maintaining a lower hallucination rate.
Implementation Details
The model was trained using an 8x A100 80GB DGX machine, utilizing synthetic GPT-4 outputs as the primary training data. The training process incorporated diverse datasets including GPTeacher, roleplay datasets, code instruction sets, and various other carefully curated sources.
- Follows Alpaca prompt format for consistency
- 4096 sequence length capability
- Trained on synthetic GPT-4 generated data
- Collaborative development between multiple AI researchers
Core Capabilities
- Enhanced performance in long-form content generation
- Reduced hallucination compared to similar models
- Strong performance in knowledge-based tasks
- Versatile instruction following
- Benchmark scores: 0.686 average on GPT4All, 0.3525 on BigBench
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its absence of traditional censorship mechanisms, enhanced long-form response capabilities, and lower hallucination rate. It maintains consistency with previous Hermes versions while leveraging LLaMA-2's improved architecture.
Q: What are the recommended use cases?
The model is well-suited for a wide range of language tasks, including creative text generation, instruction following, and complex reasoning. It's particularly effective for applications requiring detailed, accurate responses and can be implemented in chatbots, content generation systems, and various NLP applications.
