What are the hardware requirements for Tinyllama 1.1B Block Transformer Hiba Wikitext2?

Tinyllama 1.1B Block Transformer Hiba Wikitext2 requires approximately 0.3 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 Block Transformer Hiba Wikitext2 and how large is it?

Tinyllama 1.1B Block Transformer Hiba Wikitext2 is developed by tahamajs, 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 Block Transformer Hiba Wikitext2?

Tinyllama 1.1B Block Transformer Hiba Wikitext2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinyllama 1.1B Block Transformer Hiba Wikitext2 by tahamajs — VRAM 0.3GB, 2K context

Name: Tinyllama 1.1B Block Transformer Hiba Wikitext2
Author: tahamajs

Tinyllama 1.1B Block Transformer Hiba Wikitext2 is an open-source language model by tahamajs. Features: 1.1b LLM, VRAM: 0.3GB, Context: 2K, License: mit, LLM Explorer Score: 0.29.

Adaptive Attention-surgery Attention-zoo Base model:finetune:tinyllama/... Base model:tinyllama/tinyllama... Block-transformer-hiba Dataset:salesforce/wikitext En Knowledge-distillation Llama Model-index Neuralops Region:us Subquadratic-attention Tinyllama Wikitext-2

Model Card on HF 🤗: https://huggingface.co/tahamajs/tinyllama-1.1b-block-transformer-hiba-wikitext2

Tinyllama 1.1B Block Transformer Hiba Wikitext2 Parameters and Internals

LLM Name	Tinyllama 1.1B Block Transformer Hiba Wikitext2
Repository 🤗	https://huggingface.co/tahamajs/tinyllama-1.1b-block-transformer-hiba-wikitext2
Base Model(s)	TinyLlama/TinyLlama_v1.1 TinyLlama/TinyLlama_v1.1
Model Size	1.1b
Required VRAM	0.3 GB
Updated	2026-11-13
Maintainer	tahamajs
Model Type	llama
Model Files	0.3 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.45.2
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Tinyllama 1.1B Block Transformer Hiba Wikitext2 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

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