---
title: nkthebass/tinybrainbot-100m-v5.1-base
url: https://recentmodel.com/models/nkthebass/tinybrainbot-100m-v5.1-base/
status: just landed · new, unvetted
published: 2026-10-31T01:04:37Z
updated: 2026-11-01T12:18:40Z
source: https://huggingface.co/nkthebass/tinybrainbot-100m-v5.1-base
---

# nkthebass/tinybrainbot-100m-v5.1-base

A 100M-parameter base model trained from scratch on 29.6B tokens, as a plain Llama (LlamaForCausalLM): no custom code. Dense, 100M params. Context: 1K tokens (config). License: apache-2.0. Vendor-reported: "It is TinyBrainBot-100M-v3-Base continued for 4.6B tokens with knowledge-dense data, and it beats it on every Open SLM Leaderboard task, without any benchmark training data."

- Vendor-reported: It is TinyBrainBot-100M-v3-Base continued for 4.6B tokens with knowledge-dense data, and it beats it on every Open SLM Leaderboard task, without any benchmark training data.

- **Org:** nkthebass
- **Released:** 2026-10-31
- **Status:** just landed · new, unvetted
- **License:** apache-2.0 (permissive)
- **Parameters:** 100M
- **Architecture:** dense · LlamaForCausalLM
- **Context:** 1,024 tokens
- **Task:** text-generation · text
- **Signal:** 2 HF likes · 416 downloads

## Runs on

real quant files; sizing calculation, not tested.

- Q4 ~1.2 GB: no listed device
- Q8 ~1.2 GB: no listed device
- FP16 ~1.3 GB: 8GB GPU (4060 / 3070), 12GB GPU (RTX 3060), 16GB GPU (5060 Ti / 4060 Ti / 4080 / 5080), 24GB GPU (3090 / 4090), 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), 16GB GPU (7800 XT / 9070 XT), 24GB GPU (7900 XTX), Strix Halo 128GB unified (~96GB usable), Arc B60 24GB, Arc B70 32GB, Mac 16GB, Mac 24GB, Mac 36GB, Mac 48GB, Mac 64GB (M1 Max), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 32GB RAM (slow), CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/nkthebass/tinybrainbot-100m-v5.1-base)