What are the hardware requirements for TinyLlama 1.1B 1T OpenOrca?

TinyLlama 1.1B 1T OpenOrca 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 1T OpenOrca and how large is it?

TinyLlama 1.1B 1T OpenOrca 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 1T OpenOrca perform on standard benchmarks?

TinyLlama 1.1B 1T OpenOrca has the following published scores: MMLU 25.31. Compare against reference models on this page or on the LLM Explorer leaderboards.

TinyLlama 1.1B 1T OpenOrca by jeff31415 — VRAM 2.2GB, 2K context

Name: TinyLlama 1.1B 1T OpenOrca
Author: jeff31415

TinyLlama 1.1B 1T OpenOrca is an open-source language model by jeff31415. Features: 627b LLM, VRAM: 2.2GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.13, Arc: 31.3, HellaSwag: 52.3, MMLU: 25.3, GSM8K: 1.7.

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-1T-OpenOrca

TinyLlama 1.1B 1T OpenOrca Parameters and Internals

Additional Notes

Training cost approximately for this fine-tuning.

Supported Languages

en (proficient)

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 for 1 epoch.

Hardware Used:

1*RTX A5000 from autodl.com

LLM Name	TinyLlama 1.1B 1T OpenOrca
Repository 🤗	https://huggingface.co/jeff31415/TinyLlama-1.1B-1T-OpenOrca
Model Size	627b
Required VRAM	2.2 GB
Updated	2026-07-27
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 1T OpenOrca 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

Quantized Models of the TinyLlama 1.1B 1T OpenOrca

Model	Likes	Downloads
...inyLlama 1.1B 1T OpenOrca GGUF	17	1058
...inyLlama 1.1B 1T OpenOrca GPTQ	2	9
TinyLlama 1.1B 1T OpenOrca AWQ	2	4

Best Alternatives to TinyLlama 1.1B 1T OpenOrca

Best Alternatives	Context / RAM	Downloads	Likes
TinyLlama V1.1	2K / 4.4 GB	36667	112
CroissantLLMBase	2K / 5.4 GB	1012	36
...Llama 1.1B 1.5T OpenOrca Alpha	2K / 2.2 GB	60	4
MicroLlama	2K / 1.2 GB	255	53
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-1T-OpenOrca.