What are the hardware requirements for Llama3.2 3B FACEBOOK E2 BF16?

Llama3.2 3B FACEBOOK E2 BF16 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 Llama3.2 3B FACEBOOK E2 BF16 and how large is it?

Llama3.2 3B FACEBOOK E2 BF16 is developed by taharmasmaliyev07, 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 Llama3.2 3B FACEBOOK E2 BF16?

Llama3.2 3B FACEBOOK E2 BF16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3.2 3B FACEBOOK E2 BF16 by taharmasmaliyev07 — VRAM 6.5GB, 128K context

Name: Llama3.2 3B FACEBOOK E2 BF16
Author: taharmasmaliyev07

Llama3.2 3B FACEBOOK E2 BF16 is an open-source language model by taharmasmaliyev07. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:finetune:taharmasma... Base model:taharmasmaliyev07/l... Conversational En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/taharmasmaliyev07/Llama3.2-3B-FACEBOOK-E2-BF16

Llama3.2 3B FACEBOOK E2 BF16 Parameters and Internals

LLM Name	Llama3.2 3B FACEBOOK E2 BF16
Repository 🤗	https://huggingface.co/taharmasmaliyev07/Llama3.2-3B-FACEBOOK-E2-BF16
Base Model(s)	taharmasmaliyev07/Llama3.2-3B-FACEBOOK-E2-BF16 taharmasmaliyev07/Llama3.2-3B-FACEBOOK-E2-BF16
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-11-13
Maintainer	taharmasmaliyev07
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3.2 3B FACEBOOK E2 BF16 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 Llama3.2 3B FACEBOOK E2 BF16

Best Alternatives	Context / RAM	Downloads	Likes
Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
Nanbeige4.1 3B Heretic	256K / 7.9 GB	149	50
Nanbeige4.1 3B Heretic Mxfp4	256K / 7.9 GB	34	2
Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
...anbeige4.1 3B Heretic Bfloat16	256K / 7.9 GB	33	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	29	0
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
ToolMind Web 3B	192K / 7.9 GB	156	28
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368

Note: green Score (e.g. "73.2") means that the model is better than taharmasmaliyev07/Llama3.2-3B-FACEBOOK-E2-BF16.