What are the hardware requirements for Tinybrainbot 10M V2 Base ONNX?

Tinybrainbot 10M V2 Base ONNX requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinybrainbot 10M V2 Base ONNX and how large is it?

Tinybrainbot 10M V2 Base ONNX is developed by onnx-community, a model with 10m 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 10M V2 Base ONNX?

Tinybrainbot 10M V2 Base ONNX is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinybrainbot 10M V2 Base ONNX by onnx-community — 1K context

Name: Tinybrainbot 10M V2 Base ONNX
Author: onnx-community

Tinybrainbot 10M V2 Base ONNX is an open-source language model by onnx-community. Features: 10m LLM, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.33.

Base model:nkthebass/tinybrain... Base model:quantized:nkthebass... Dataset:arrowlabs/dclm-ultra Dataset:arrowlabs/dclm-ultra-1... Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/cosmoped... Dataset:microsoft/orca-math-wo... Dataset:openbmb/ultradata-math Dataset:roneneldan/tinystories Dataset:wikimedia/wikipedia En From-scratch Llama Model-index Onnx Region:us Small-language-model Tiny Transformers.js

Model Card on HF 🤗: https://huggingface.co/onnx-community/tinybrainbot-10m-v2-base-ONNX

Tinybrainbot 10M V2 Base ONNX Parameters and Internals

LLM Name	Tinybrainbot 10M V2 Base ONNX
Repository 🤗	https://huggingface.co/onnx-community/tinybrainbot-10m-v2-base-ONNX
Base Model(s)	Tinybrainbot 10M V2 Base nkthebass/tinybrainbot-10m-v2-base
Model Size	10m
Updated	2026-11-03
Maintainer	onnx-community
Model Type	llama
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	4096

Rank the Tinybrainbot 10M V2 Base ONNX capabilities

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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

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