What are the hardware requirements for Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2?

Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2 requires approximately 2.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2 and how large is it?

Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2 is developed by Zoyd, a model with 6b 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 Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2?

Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2 by Zoyd — VRAM 2.9GB, 8K context

Name: Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2
Author: Zoyd

Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2 is an open-source language model by Zoyd. Features: 6b LLM, VRAM: 2.9GB, Context: 8K, License: llama3, Quantized, LLM Explorer Score: 0.13.

Arxiv:2212.05055 Arxiv:2404.08634 6b Base model:prince-canuma/llama... Base model:quantized:prince-ca... Dataset:huggingfacefw/fineweb Dataset:prince-canuma/fineweb-... En Endpoints compatible Exl2 Llama Llama-3-6b Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Zoyd/prince-canuma_Llama-3-6B-v0.1-2_2bpw_exl2

Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2 Parameters and Internals

Model Type

Llama

Use Cases

Areas:

Coding assistant, RAG, Function Calling

Primary Use Cases:

instruct and chat

Limitations:

Limited scope for coding and math, English-only pretraining

Supported Languages

en (high proficiency)

Training Details

Data Sources:

Huggingface's FineWeb CC-Main-2024-10

Data Volume:

1 billion tokens

Methodology:

Downcycling technique

Context Length:

8192

Hardware Used:

4xRTX6000

Model Architecture:

24 layers out of 32 copied from Llama-3-8B

Input Output

Accepted Modalities:

text

Output Format:

text

LLM Name	Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2
Repository 🤗	https://huggingface.co/Zoyd/prince-canuma_Llama-3-6B-v0.1-2_2bpw_exl2
Base Model(s)	Llama 3 6B V0 prince-canuma/Llama-3-6B-v0
Model Size	6b
Required VRAM	2.9 GB
Updated	2026-01-07
Maintainer	Zoyd
Model Type	llama
Model Files	2.9 GB
Supported Languages	en
Quantization Type	exl2
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Prince Canuma Llama 3 6B V0.1 2 2bpw EXL2 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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