What are the hardware requirements for Tinybrainbot 350mV3 Base?

Tinybrainbot 350mV3 Base requires approximately 0.7 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinybrainbot 350mV3 Base and how large is it?

Tinybrainbot 350mV3 Base is developed by nkthebass, a model with 348.3m 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 350mV3 Base?

Tinybrainbot 350mV3 Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinybrainbot 350mV3 Base by nkthebass — VRAM 0.7GB, 2K context

Name: Tinybrainbot 350mV3 Base
Author: nkthebass

Tinybrainbot 350mV3 Base is an open-source language model by nkthebass. Features: 348.3m LLM, VRAM: 0.7GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.26.

Conversational En Endpoints compatible From-scratch Gqa Llama Pretrained Region:us Safetensors Small-language-model Tinybrainbot

Model Card on HF 🤗: https://huggingface.co/nkthebass/tinybrainbot-350mV3-base

Tinybrainbot 350mV3 Base Parameters and Internals

LLM Name	Tinybrainbot 350mV3 Base
Repository 🤗	https://huggingface.co/nkthebass/tinybrainbot-350mV3-base
Model Size	348.3m
Required VRAM	0.7 GB
Updated	2026-09-05
Maintainer	nkthebass
Model Type	llama
Model Files	0.7 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Tinybrainbot 350mV3 Base capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Tinybrainbot 350mV3 Base

Model	Likes	Downloads	VRAM
Tinybrainbot 350mV3 Instruct	0	463	0 GB

Best Alternatives to Tinybrainbot 350mV3 Base

Best Alternatives	Context / RAM	Downloads	Likes
Tinybrainbot 350mV3 Instruct	2K / 0.7 GB	463	0

Note: green Score (e.g. "73.2") means that the model is better than nkthebass/tinybrainbot-350mV3-base.