What are the hardware requirements for Llama 3.2 3B SmartiHatz 0.1B Bf16?

Llama 3.2 3B SmartiHatz 0.1B 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 Llama 3.2 3B SmartiHatz 0.1B Bf16 and how large is it?

Llama 3.2 3B SmartiHatz 0.1B Bf16 is developed by Nexesenex, 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 Llama 3.2 3B SmartiHatz 0.1B Bf16?

Llama 3.2 3B SmartiHatz 0.1B Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 3B SmartiHatz 0.1B Bf16 by Nexesenex — VRAM 6.5GB, 128K context

Name: Llama 3.2 3B SmartiHatz 0.1B Bf16
Author: Nexesenex

Llama 3.2 3B SmartiHatz 0.1B Bf16 is an open-source language model by Nexesenex. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, Fine-Tuned, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Autotrain compatible Base model:huihui-ai/llama-3.2... Base model:lunahr/hermes-3-lla... Base model:lunahr/thea-rp-3b-2... Base model:prithivmlmods/prima... Base model:saisexperiments/evi... Conversational Endpoints compatible Finetuned Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nexesenex/Llama_3.2_3b_SmartiHatz_0.1b_bf16

Llama 3.2 3B SmartiHatz 0.1B Bf16 Parameters and Internals

LLM Name	Llama 3.2 3b SmartiHatz 0.1b Bf16
Repository 🤗	https://huggingface.co/Nexesenex/Llama_3.2_3b_SmartiHatz_0.1b_bf16
Base Model(s)	Primal Mini 3B Exp SaisExperiments/Evil-Alpaca-3B-L3.2 huihui-ai/Llama-3.2-3B-Instruct-abliterated-finetuned Thea Rp 3B 25r lunahr/Hermes-3-Llama-3.2-3B-abliterated prithivMLmods/Primal-Mini-3B-Exp SaisExperiments/Evil-Alpaca-3B-L3.2 huihui-ai/Llama-3.2-3B-Instruct-abliterated-finetuned lunahr/thea-rp-3b-25r lunahr/Hermes-3-Llama-3.2-3B-abliterated
Merged Model	Yes
Model Size	3b
Required VRAM	6.5 GB
Updated	2025-02-19
Maintainer	Nexesenex
Model Type	llama
Instruction-Based	Yes
Model Files	1.0 GB: 1-of-7 1.0 GB: 2-of-7 1.0 GB: 3-of-7 0.9 GB: 4-of-7 1.0 GB: 5-of-7 1.0 GB: 6-of-7 0.6 GB: 7-of-7
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.2 3B SmartiHatz 0.1B Bf16 capabilities

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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

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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
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... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
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... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0

Note: green Score (e.g. "73.2") means that the model is better than Nexesenex/Llama_3.2_3b_SmartiHatz_0.1b_bf16.