What are the hardware requirements for Llama3 8B Function Calling?

Llama3 8B Function Calling requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3 8B Function Calling and how large is it?

Llama3 8B Function Calling is developed by ScaleGenAI, 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 8B Function Calling?

Llama3 8B Function Calling is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 8B Function Calling by ScaleGenAI — VRAM 16.1GB

Name: Llama3 8B Function Calling
Author: ScaleGenAI

Llama3 8B Function Calling is an open-source language model by ScaleGenAI. Features: 8b LLM, VRAM: 16.1GB, License: llama3, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ScaleGenAI/Llama3-8B-Function-Calling

Llama3 8B Function Calling Parameters and Internals

Model Type

text-to-function, natural language processing

Use Cases

Areas:

automated function calling, data manipulation, data retrieval

Applications:

complex data analysis, interactive data querying

Additional Notes

The model is designed to enhance data manipulation and retrieval tasks through automated function calling capabilities. It has a specific format for tool calling involving Python code execution on dataframes.

LLM Name	Llama3 8B Function Calling
Repository 🤗	https://huggingface.co/ScaleGenAI/Llama3-8B-Function-Calling
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-31
Maintainer	ScaleGenAI
Model Files	0.2 GB 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	AutoModelForCausalLM
License	llama3
Model Max Length	8192
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|up_proj\|k_proj\|v_proj\|q_proj\|gate_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0.3
R Param	16

Rank the Llama3 8B Function Calling 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 ScaleGenAI/Llama3-8B-Function-Calling.