README.md

---
base_model:
- NousResearch/Hermes-3-Llama-3.1-8B
license: mit
pipeline_tag: text-generation
base_model_relation: finetune
library_name: transformers
tags:
- nouscoder
- sft
---

> [!TIP]
> **[Support this work →](https://donate.sybilsolutions.ai)** · [X](https://x.com/0xsero) · [GitHub](https://github.com/0xsero) · [REAP paper](https://arxiv.org/abs/2510.13999) · [Cerebras REAP](https://huggingface.co/collections/cerebras/cerebras-reap)

# NousCoder-14B-SFT-Tools

SFT fine-tune of [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B).

## At a glance

| | |
|---|---|
| Base model | [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) |
| Format | SFT |
| Total params | **14B** |
| Active / token | — |
| Experts / layer | — |
| Layers | — |
| Hidden size | — |
| Context | — |
| On-disk size | 1 GB |

## Which variant should I pick?

| Variant | Format | Link |
|---|---|---|
| `NousCoder-14B-SFT` | SFT | [link](https://huggingface.co/0xSero/NousCoder-14B-SFT) |
| `NousCoder-14B-SFT-Tools` **(this)** | SFT | [link](https://huggingface.co/0xSero/NousCoder-14B-SFT-Tools) |
| `NousCoder-14B-Tools` | Tools | [link](https://huggingface.co/0xSero/NousCoder-14B-Tools) |

## License & citation
License inherited from the base model.

```bibtex
@misc{lasby2025reap,
  title  = {REAP the Experts: Why Pruning Prevails for One-Shot MoE Compression},
  author = {Mike Lasby and Ivan Lazarevich and Nish Sinnadurai and Sean Lie and Yani Ioannou and Vithursan Thangarasa},
  year   = {2025}, eprint = {2510.13999}, archivePrefix = {arXiv}
}
```

## Sponsors
Made possible by **NVIDIA · TNG Technology · Lambda · Prime Intellect · Hot Aisle**.