What are the hardware requirements for Llm 3 2 Flux Prompt?

Llm 3 2 Flux Prompt requires approximately 6.5 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 Llm 3 2 Flux Prompt and how large is it?

Llm 3 2 Flux Prompt is developed by ABDALLALSWAITI, 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 Llm 3 2 Flux Prompt?

Llm 3 2 Flux Prompt is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llm 3 2 Flux Prompt by ABDALLALSWAITI — VRAM 6.5GB, 128K context

Name: Llm 3 2 Flux Prompt
Author: ABDALLALSWAITI

Llm 3 2 Flux Prompt is an open-source language model by ABDALLALSWAITI. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Quantized, LLM Explorer Score: 0.15.

4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Conversational Dataset:abdallalswaiti/flux pr... Deploy:azure En Endpoints compatible Facebook Flux Gguf Llama Llama-3 Meta Prompts Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/ABDALLALSWAITI/llm_3_2_flux_prompt

Llm 3 2 Flux Prompt Parameters and Internals

LLM Name	Llm 3 2 Flux Prompt
Repository 🤗	https://huggingface.co/ABDALLALSWAITI/llm_3_2_flux_prompt
Base Model(s)	meta-llama/Llama-3.2-3B meta-llama/Llama-3.2-3B
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-09-20
Maintainer	ABDALLALSWAITI
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2 3.4 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ABDALLALSWAITI/llm_3_2_flux_prompt.