What are the hardware requirements for Llama 2 13B German Assistant V2?

Llama 2 13B German Assistant V2 requires approximately 26 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 13B German Assistant V2 and how large is it?

Llama 2 13B German Assistant V2 is developed by flozi00, 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 German Assistant V2?

Llama 2 13B German Assistant V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 13B German Assistant V2 by flozi00 — VRAM 26GB, 2K context

Name: Llama 2 13B German Assistant V2
Author: flozi00

Llama 2 13B German Assistant V2 is an open-source language model by flozi00. Features: 13b LLM, VRAM: 26GB, Context: 2K, Quantized, LLM Explorer Score: 0.08.

Dataset:flozi00/conversations De En Endpoints compatible Fp16 Llama Pytorch Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/flozi00/Llama-2-13B-german-assistant-v2

Llama 2 13B German Assistant V2 Parameters and Internals

Model Type

text generation

Additional Notes

Model is optimized for instruction following and conversational tasks using German instructions in the Open Assistant style.

Supported Languages

en (English), de (German)

Training Details

Data Sources:

flozi00/conversations

Methodology:

Fine-tuning for German instructions and conversations

Hardware Used:

100% renewable energy powered hardware

Model Architecture:

Llama version 2

LLM Name	Llama 2 13B German Assistant V2
Repository 🤗	https://huggingface.co/flozi00/Llama-2-13B-german-assistant-v2
Model Size	13b
Required VRAM	26 GB
Updated	2026-07-29
Maintainer	flozi00
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
Supported Languages	en de
Quantization Type	fp16
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
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 German Assistant 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

Quantized Models of the Llama 2 13B German Assistant V2

Model	Likes	Downloads	VRAM
...2 13B German Assistant V2 GGUF	2	494	5 GB
... 2 13B German Assistant V2 AWQ	0	7	7 GB
...2 13B German Assistant V2 GPTQ	12	68	7 GB
...2 13B German Assistant V2 GGML	17	5	5 GB

Best Alternatives to Llama 2 13B German Assistant V2

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 flozi00/Llama-2-13B-german-assistant-v2.