What are the hardware requirements for Fgfgfgf?

Fgfgfgf requires approximately 7.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fgfgfgf and how large is it?

Fgfgfgf is developed by lilmeaty, 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 Fgfgfgf?

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

Fgfgfgf by lilmeaty — VRAM 7.2GB, 128K context

Name: Fgfgfgf
Author: lilmeaty

Fgfgfgf is an open-source language model by lilmeaty. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.15.

Arxiv:2406.11717 Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lilmeaty/fgfgfgf

Fgfgfgf Parameters and Internals

LLM Name	Fgfgfgf
Repository 🤗	https://huggingface.co/lilmeaty/fgfgfgf
Model Size	3b
Required VRAM	7.2 GB
Updated	2026-07-20
Maintainer	lilmeaty
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Fgfgfgf 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 lilmeaty/fgfgfgf.