What are the hardware requirements for Tiny Random Internlm2?

Tiny Random Internlm2 requires approximately 0.1 GB of VRAM and supports a context window of 0.1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiny Random Internlm2 and how large is it?

Tiny Random Internlm2 is developed by optimum-internal-testing, a model with 24.1m 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 Tiny Random Internlm2?

Tiny Random Internlm2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tiny Random Internlm2 by optimum-internal-testing — VRAM 0.1GB, 0.1K context

Name: Tiny Random Internlm2
Author: optimum-internal-testing

Tiny Random Internlm2 is an open-source language model by optimum-internal-testing. Features: 24.1m LLM, VRAM: 0.1GB, Context: 0.1K, License: apache-2.0, LLM Explorer Score: 0.22.

Custom code Internlm2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/optimum-internal-testing/tiny-random-internlm2

Tiny Random Internlm2 Parameters and Internals

LLM Name	Tiny Random Internlm2
Repository 🤗	https://huggingface.co/optimum-internal-testing/tiny-random-internlm2
Model Size	24.1m
Required VRAM	0.1 GB
Updated	2026-07-29
Maintainer	optimum-internal-testing
Model Type	internlm2
Model Files	0.1 GB
Model Architecture	InternLM2ForCausalLM
License	apache-2.0
Context Length	128
Model Max Length	128
Transformers Version	4.38.2
Is Biased	0
Tokenizer Class	InternLM2Tokenizer
Padding Token	</s>
Vocabulary Size	92544
Torch Data Type	float32

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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 Tiny Random Internlm2

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Tiny Random Internlm2	0.1K / 0.1 GB	391	0