What are the hardware requirements for TinyYi 7B Test?

TinyYi 7B Test requires approximately 12.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TinyYi 7B Test and how large is it?

TinyYi 7B Test is developed by Yash21, a model with 7b 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 TinyYi 7B Test?

TinyYi 7B Test is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyYi 7B Test by Yash21 — VRAM 12.1GB, 4K context

Name: TinyYi 7B Test
Author: Yash21

TinyYi 7B Test is an open-source language model by Yash21. Features: 7b LLM, VRAM: 12.1GB, Context: 4K, License: apache-2.0, Merged, LLM Explorer Score: 0.1.

Merged Model Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yashmarathe/TinyYi-7B-Test

TinyYi 7B Test Parameters and Internals

LLM Name	TinyYi 7B Test
Repository 🤗	https://huggingface.co/yashmarathe/TinyYi-7B-Test
Merged Model	Yes
Model Size	7b
Required VRAM	12.1 GB
Updated	2026-08-06
Maintainer	Yash21
Model Type	llama
Model Files	9.9 GB: 1-of-2 2.2 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the TinyYi 7B Test 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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Note: green Score (e.g. "73.2") means that the model is better than yashmarathe/TinyYi-7B-Test.