metadata
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
Support this work → · X · GitHub · REAP paper · Cerebras REAP
NousCoder-14B-SFT-Tools
SFT fine-tune of NousResearch/Hermes-3-Llama-3.1-8B.
At a glance
| Base model | 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 |
NousCoder-14B-SFT-Tools (this) |
SFT | link |
NousCoder-14B-Tools |
Tools | link |
License & citation
License inherited from the base model.
@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
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