What are the hardware requirements for Llama3 Empower Functions Small?

Llama3 Empower Functions Small 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 Llama3 Empower Functions Small and how large is it?

Llama3 Empower Functions Small is developed by empower-dev, 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 Llama3 Empower Functions Small?

Llama3 Empower Functions Small is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 Empower Functions Small by empower-dev — VRAM 16.1GB, 8K context

Name: Llama3 Empower Functions Small
Author: empower-dev

Llama3 Empower Functions Small is an open-source language model by empower-dev. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Function Function-calling Instruct Llama Pytorch Region:us Sharded Tool-using

Model Card on HF 🤗: https://huggingface.co/empower-dev/llama3-empower-functions-small

Llama3 Empower Functions Small Parameters and Internals

Model Type

tool-using, function-calling

Use Cases

Areas:

research, commercial applications

Applications:

healthcare appointment booking

Primary Use Cases:

tool using, function calling

Additional Notes

Most cost-effective and locally runnable model in the Empower Functions family.

LLM Name	Llama3 Empower Functions Small
Repository 🤗	https://huggingface.co/empower-dev/llama3-empower-functions-small
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-19
Maintainer	empower-dev
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 Empower Functions Small 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 Llama3 Empower Functions Small

Model	Likes	Downloads	VRAM
...3 Empower Functions Small Gguf	0	186	4 GB

Best Alternatives to Llama3 Empower Functions Small

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 empower-dev/llama3-empower-functions-small.