What are the hardware requirements for TinyLlama 1.1B 1.5T OpenOrca Alpha?

TinyLlama 1.1B 1.5T OpenOrca Alpha requires approximately 2.2 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 1.5T OpenOrca Alpha and how large is it?

TinyLlama 1.1B 1.5T OpenOrca Alpha is developed by jeff31415, a model with 627b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does TinyLlama 1.1B 1.5T OpenOrca Alpha perform on standard benchmarks?

TinyLlama 1.1B 1.5T OpenOrca Alpha has the following published scores: MMLU 25.73. Compare against reference models on this page or on the LLM Explorer leaderboards.

TinyLlama 1.1B 1.5T OpenOrca Alpha by jeff31415 — VRAM 2.2GB, 2K context

Name: TinyLlama 1.1B 1.5T OpenOrca Alpha
Author: jeff31415

TinyLlama 1.1B 1.5T OpenOrca Alpha is an open-source language model by jeff31415. Features: 627b LLM, VRAM: 2.2GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.14, Arc: 32.8, HellaSwag: 53.8, MMLU: 25.7, GSM8K: 0.6.

Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62... Dataset:open-orca/openorca En Endpoints compatible Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/jeff31415/TinyLlama-1.1B-1.5T-OpenOrca-Alpha

TinyLlama 1.1B 1.5T OpenOrca Alpha Parameters and Internals

Additional Notes

This fine tune was done on the "early" version of tinyllama-1.5T which suffers from a bug in dataset processing. See https://github.com/jzhang38/TinyLlama/issues/67. However, its performance seems not to be damaged and still shows improvement.

Training Details

Data Sources:

Open-Orca/OpenOrca, bigcode/starcoderdata, cerebras/SlimPajama-627B

Methodology:

Fine tuned on OpenOrca GPT4 subset for 1 epoch, using CHATML format

Training Time:

~16 hours to complete 1 epoch

Hardware Used:

1*RTX A5000, GPU from autodl.com

LLM Name	TinyLlama 1.1B 1.5T OpenOrca Alpha
Repository 🤗	https://huggingface.co/jeff31415/TinyLlama-1.1B-1.5T-OpenOrca-Alpha
Model Size	627b
Required VRAM	2.2 GB
Updated	2026-07-31
Maintainer	jeff31415
Model Type	llama
Model Files	2.2 GB 2.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the TinyLlama 1.1B 1.5T OpenOrca Alpha 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

Best Alternatives to TinyLlama 1.1B 1.5T OpenOrca Alpha

Best Alternatives	Context / RAM	Downloads	Likes
TinyLlama V1.1	2K / 4.4 GB	36667	112
CroissantLLMBase	2K / 5.4 GB	1012	36
MicroLlama	2K / 1.2 GB	255	53
TinyLlama 1.1B 1T OpenOrca	2K / 2.2 GB	84	7
TinyLlama V1.1 Math Code	2K / 4.4 GB	76	15
TinyLlama V1.1 Chinese	2K / 4.4 GB	56	15
...inyLlama 1.1B 1T OpenOrca GPTQ	2K / 0.8 GB	9	2
TinyLlama 1.1B 1T OpenOrca AWQ	2K / 0.8 GB	4	2

Note: green Score (e.g. "73.2") means that the model is better than jeff31415/TinyLlama-1.1B-1.5T-OpenOrca-Alpha.