What are the hardware requirements for Openzeka Llm Beta?

Openzeka Llm Beta requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Openzeka Llm Beta and how large is it?

Openzeka Llm Beta is developed by OPENZEKA, a model with 8b 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 Openzeka Llm Beta?

Openzeka Llm Beta is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Openzeka Llm Beta by OPENZEKA — VRAM 16.1GB, 8K context

Name: Openzeka Llm Beta
Author: OPENZEKA

Openzeka Llm Beta is an open-source language model by OPENZEKA. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.13.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow Tr

Model Card on HF 🤗: https://huggingface.co/OPENZEKA/openzeka_llm_beta

Openzeka Llm Beta Parameters and Internals

Model Type

causal language model

Additional Notes

Check the model's repository or documentation for additional details.

LLM Name	Openzeka Llm Beta
Repository 🤗	https://huggingface.co/OPENZEKA/openzeka_llm_beta
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-07
Maintainer	OPENZEKA
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-9 1.9 GB: 2-of-9 2.0 GB: 3-of-9 1.9 GB: 4-of-9 2.0 GB: 5-of-9 1.9 GB: 6-of-9 2.0 GB: 7-of-9 1.3 GB: 8-of-9 1.1 GB: 9-of-9
Supported Languages	tr
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Openzeka Llm Beta 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 Openzeka Llm Beta

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than OPENZEKA/openzeka_llm_beta.