What are the hardware requirements for Tinyllama 1.1B CrimsonAI Movie V1?

Tinyllama 1.1B CrimsonAI Movie V1 requires approximately 1.2 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 Tinyllama 1.1B CrimsonAI Movie V1 and how large is it?

Tinyllama 1.1B CrimsonAI Movie V1 is developed by sargetun, a model with 1.1b 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 Tinyllama 1.1B CrimsonAI Movie V1?

Tinyllama 1.1B CrimsonAI Movie V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinyllama 1.1B CrimsonAI Movie V1 by sargetun — VRAM 1.2GB, 2K context

Name: Tinyllama 1.1B CrimsonAI Movie V1
Author: sargetun

Tinyllama 1.1B CrimsonAI Movie V1 is an open-source language model by sargetun. Features: 1.1b LLM, VRAM: 1.2GB, Context: 2K, Quantized, LLM Explorer Score: 0.18.

Arxiv:1910.09700 Conversational Endpoints compatible Gguf Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/sargetun/tinyllama-1.1B-CrimsonAI-movie-v1

Tinyllama 1.1B CrimsonAI Movie V1 Parameters and Internals

LLM Name	Tinyllama 1.1B CrimsonAI Movie V1
Repository 🤗	https://huggingface.co/sargetun/tinyllama-1.1B-CrimsonAI-movie-v1
Model Size	1.1b
Required VRAM	1.2 GB
Updated	2026-08-08
Maintainer	sargetun
Model Type	llama
Model Files	2.2 GB 1.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Tinyllama 1.1B CrimsonAI Movie V1 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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