What are the hardware requirements for Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3?

Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3 requires approximately 3.2 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 Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3 and how large is it?

Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3 is developed by ModelCloud, 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 Instruct Gptqmodel 4bit Vortext V3?

Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3 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 Instruct Gptqmodel 4bit Vortext V3 by ModelCloud — VRAM 3.2GB, 128K context

Name: Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3
Author: ModelCloud

Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3 is an open-source language model by ModelCloud. Features: 3b LLM, VRAM: 3.2GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

4-bit 4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Conversational De En Es Fr Gptq Gptqmodel Hi Instruct Int4 It Llama Llama3.2 Modelcloud Pt Quantized Region:us Safetensors Th

Model Card on HF 🤗: https://huggingface.co/ModelCloud/Llama-3.2-3B-Instruct-gptqmodel-4bit-vortext-v3

Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3 Parameters and Internals

LLM Name	Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3
Repository 🤗	https://huggingface.co/ModelCloud/Llama-3.2-3B-Instruct-gptqmodel-4bit-vortext-v3
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	3.2 GB
Updated	2024-11-09
Maintainer	ModelCloud
Model Type	llama
Instruction-Based	Yes
Model Files	3.2 GB
Supported Languages	en de fr it pt hi es th
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 3B Instruct Gptqmodel 4bit Vortext V3 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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Note: green Score (e.g. "73.2") means that the model is better than ModelCloud/Llama-3.2-3B-Instruct-gptqmodel-4bit-vortext-v3.