What are the hardware requirements for Fly Llm Hf?

Fly Llm Hf requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fly Llm Hf and how large is it?

Fly Llm Hf is developed by ngxson, a model with 71m 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 Fly Llm Hf?

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

Fly Llm Hf by ngxson — VRAM 0.3GB

Name: Fly Llm Hf
Author: ngxson

Fly Llm Hf is an open-source language model by ngxson. Features: 71m LLM, VRAM: 0.3GB, License: cc-by-4.0.

Connectome Custom code Dataset:roneneldan/tinystories Drosophila Echo-state-network En Fly Fruit-fly Region:us Reservoir-computing Safetensors Tinystories

Model Card on HF 🤗: https://huggingface.co/ngxson/fly-llm-hf

Fly Llm Hf Parameters and Internals

LLM Name	Fly Llm Hf
Repository 🤗	https://huggingface.co/ngxson/fly-llm-hf
Model Size	71m
Required VRAM	0.3 GB
Updated	2026-09-13
Maintainer	ngxson
Model Type	fly
Model Files	0.3 GB
Supported Languages	en
Model Architecture	FlyForCausalLM
License	cc-by-4.0
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	1024

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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