What are the hardware requirements for Llama 2 13B 8bit?

Llama 2 13B 8bit requires approximately 13.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 13B 8bit and how large is it?

Llama 2 13B 8bit is developed by Peeepy, a model with 13b 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 2 13B 8bit?

Llama 2 13B 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 13B 8bit by Peeepy — VRAM 13.4GB, 4K context

Name: Llama 2 13B 8bit
Author: Peeepy

Llama 2 13B 8bit is an open-source language model by Peeepy. Features: 13b LLM, VRAM: 13.4GB, Context: 4K, Quantized, LLM Explorer Score: 0.08.

8bit Endpoints compatible Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Peeepy/llama-2-13b-8bit

Llama 2 13B 8bit Parameters and Internals

LLM Name	Llama 2 13B 8bit
Repository 🤗	https://huggingface.co/Peeepy/llama-2-13b-8bit
Base Model(s)	ToddLora 13b V2 autobots/ToddLora_13b_v2
Model Size	13b
Required VRAM	13.4 GB
Updated	2026-08-02
Maintainer	Peeepy
Model Type	llama
Model Files	13.4 GB
Quantization Type	8bit
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 13B 8bit 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

Best Alternatives to Llama 2 13B 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Llama13b 32K Illumeet Finetune	32K / 26 GB	5	0
...Maid V3 13B 32K 8.0bpw H8 EXL2	32K / 13.2 GB	8	1
...Maid V3 13B 32K 6.0bpw H6 EXL2	32K / 10 GB	5	1
WhiteRabbitNeo 13B V1	16K / 26 GB	3146	453
CodeLlama 13B Python Fp16	16K / 26 GB	121	25
CodeLlama 13B Fp16	16K / 26 GB	9	67
CodeLlama 13B Instruct Fp16	16K / 26 GB	137	28
Codellama 13B Bnb 4bit	16K / 7.2 GB	129	5
...Llama 13B Instruct Hf 4bit MLX	16K / 7.8 GB	113	3
WhiteRabbitNeo 13B V1 4bit Mlx	16K / 7.8 GB	147	2

Note: green Score (e.g. "73.2") means that the model is better than Peeepy/llama-2-13b-8bit.