What are the hardware requirements for Glaive Function Calling V1?

Glaive Function Calling V1 requires approximately 10.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Glaive Function Calling V1 and how large is it?

Glaive Function Calling V1 is developed by glaiveai, a model with 3b 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 Glaive Function Calling V1?

Glaive Function Calling V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Glaive Function Calling V1 by glaiveai — VRAM 10.4GB

Name: Glaive Function Calling V1
Author: glaiveai

Glaive Function Calling V1 is an open-source language model by glaiveai. Features: 3b LLM, VRAM: 10.4GB, License: cc-by-sa-4.0, LLM Explorer Score: 0.08.

Custom code Dataset:glaiveai/glaive-functi... Endpoints compatible Mpt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/glaiveai/glaive-function-calling-v1

Glaive Function Calling V1 Parameters and Internals

Use Cases

Primary Use Cases:

Function calling tasks

Limitations:

Doesn't generalize well to other chat use-cases, May hallucinate functions

Additional Notes

The model is open source and focuses on function calling abilities. An inference server is being developed to act as a drop-in replacement to the OpenAI API.

Training Details

Data Sources:

Glaive’s synthetic data generation platform

LLM Name	Glaive Function Calling V1
Repository 🤗	https://huggingface.co/glaiveai/glaive-function-calling-v1
Model Size	3b
Required VRAM	10.4 GB
Updated	2026-07-21
Maintainer	glaiveai
Model Type	mpt
Model Files	10.0 GB: 1-of-2 0.4 GB: 2-of-2
Model Architecture	MPTForCausalLM
License	cc-by-sa-4.0
Model Max Length	2048
Transformers Version	4.28.0
Tokenizer Class	ReplitLMTokenizer
Padding Token	<\|pad\|>
Vocabulary Size	32768
Torch Data Type	float32

Rank the Glaive Function Calling V1 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 Glaive Function Calling V1

Best Alternatives	Context / RAM	Downloads	Likes
Replit Code V1.5 3B	0K / 6.6 GB	544	316
Sea Lion 3B	0K / 6.4 GB	778	17
Code Millenials 3B	0K / 5.2 GB	5	1
SEA LION V1 3B	0K / 6.4 GB	186	19
Mpt 3B 8K Instruct	0K / 6.9 GB	5	3
Replit Code V1 3B	0K / 10.4 GB	111	744
...aive Function Calling V2 Small	0K / 10.4 GB	8	15
Evol Replit V1	0K / 10.4 GB	9	8
Replit V2 CodeInstruct 3B	0K / 10.4 GB	17	71
Replit CodeInstruct V3	0K / 10.4 GB	7	2

Note: green Score (e.g. "73.2") means that the model is better than glaiveai/glaive-function-calling-v1.