What are the hardware requirements for Collision 10M?

Collision 10M requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Collision 10M and how large is it?

Collision 10M is developed by collision-10M, 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 Collision 10M?

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

Collision 10M by collision-10M — VRAM 0.1GB

Name: Collision 10M
Author: collision-10M

Collision 10M is an open-source language model by collision-10M. Features: 10m LLM, VRAM: 0.1GB, License: mit, LLM Explorer Score: 0.31.

Causal-language-model Dataset:collision dataset v5 e... Educational En Endpoints compatible Region:us Research Small-language-model

Model Card on HF 🤗: https://huggingface.co/collision-10M/collision-10m

Collision 10M Parameters and Internals

LLM Name	Collision 10M
Repository 🤗	https://huggingface.co/collision-10M/collision-10m
Model Name	COLLISION-10M
Model Size	10m
Required VRAM	0.1 GB
Updated	2026-09-06
Maintainer	collision-10M
Model Files	0.1 GB
Supported Languages	en
Model Architecture	AutoModel
License	mit
Vocabulary Size	8000

Rank the Collision 10M 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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