What are the hardware requirements for Tinybrainbot 100M V5.1 Instruct?

Tinybrainbot 100M V5.1 Instruct requires approximately 0.1 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinybrainbot 100M V5.1 Instruct and how large is it?

Tinybrainbot 100M V5.1 Instruct is developed by nkthebass, a model with 100m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Tinybrainbot 100M V5.1 Instruct?

Tinybrainbot 100M V5.1 Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinybrainbot 100M V5.1 Instruct by nkthebass — VRAM 0.1GB, 1K context

Name: Tinybrainbot 100M V5.1 Instruct
Author: nkthebass

Tinybrainbot 100M V5.1 Instruct is an open-source language model by nkthebass. Features: 100m LLM, VRAM: 0.1GB, Context: 1K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.34.

Base model:nkthebass/tinybrain... Base model:quantized:nkthebass... Chat Conversational Dataset:allenai/tulu-3-sft-per... Dataset:allenai/wildchat-4.8m Dataset:huggingfaceh4/ultrafee... Dataset:huggingfacetb/smol-smo... Dataset:huggingfacetb/smoltalk Dataset:huggingfacetb/smoltalk... Dataset:teknium/openhermes-2.5 Dpo En Endpoints compatible From-scratch Gguf Instruct Llama Math Model-index Q4 Quantized Reasoning Region:us Safetensors Small-language-model Tinybrainbot

Model Card on HF 🤗: https://huggingface.co/nkthebass/tinybrainbot-100m-v5.1-instruct

Tinybrainbot 100M V5.1 Instruct Parameters and Internals

LLM Name	Tinybrainbot 100M V5.1 Instruct
Repository 🤗	https://huggingface.co/nkthebass/tinybrainbot-100m-v5.1-instruct
Base Model(s)	nkthebass/tinybrainbot-100m-v5.1-base nkthebass/tinybrainbot-100m-v5.1-base
Model Size	100m
Required VRAM	0.1 GB
Updated	2026-11-03
Maintainer	nkthebass
Model Type	llama
Instruction-Based	Yes
Model Files	0.2 GB 0.2 GB 0.1 GB 0.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	32000
Torch Data Type	float16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Tinybrainbot 100M V5.1 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
SmollerLM2 100M Instruct Sft	8K / 0.3 GB	9	1
Stockmark 2 100B Instruct Beta	4K / 192.9 GB	13	12
Mossez 100M Coder Instruct	1K / 0.4 GB	113	0