What are the hardware requirements for Llama 3.2 3B Chinese Elite V2?

Llama 3.2 3B Chinese Elite V2 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 Chinese Elite V2 and how large is it?

Llama 3.2 3B Chinese Elite V2 is developed by Jackrong, 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 Chinese Elite V2?

Llama 3.2 3B Chinese Elite V2 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 Chinese Elite V2 by Jackrong — VRAM 6.5GB, 128K context

Name: Llama 3.2 3B Chinese Elite V2
Author: Jackrong

Llama 3.2 3B Chinese Elite V2 is an open-source language model by Jackrong. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

4bit Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Jackrong/llama-3.2-3B-Chinese-Elite-v2

Llama 3.2 3B Chinese Elite V2 Parameters and Internals

LLM Name	Llama 3.2 3B Chinese Elite V2
Repository 🤗	https://huggingface.co/Jackrong/llama-3.2-3B-Chinese-Elite-v2
Base Model(s)	unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-07-30
Maintainer	Jackrong
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 3B Chinese Elite V2 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 Jackrong/llama-3.2-3B-Chinese-Elite-v2.