What are the hardware requirements for German RAG LLAMA 3.1 8B CPT HESSIAN AI?

German RAG LLAMA 3.1 8B CPT HESSIAN AI requires approximately 16.1 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 German RAG LLAMA 3.1 8B CPT HESSIAN AI and how large is it?

German RAG LLAMA 3.1 8B CPT HESSIAN AI is developed by avemio, a model with 8b 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 German RAG LLAMA 3.1 8B CPT HESSIAN AI?

German RAG LLAMA 3.1 8B CPT HESSIAN AI is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

German RAG LLAMA 3.1 8B CPT HESSIAN AI by avemio — VRAM 16.1GB, 128K context

Name: German RAG LLAMA 3.1 8B CPT HESSIAN AI
Author: avemio

German RAG LLAMA 3.1 8B CPT HESSIAN AI is an open-source language model by avemio. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.14.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Dataset:avemio/german rag-cpt-... De En German Instruct Llama Rag Reasoning Region:us Retrieval Safetensors Sharded Summarization Tensorflow

Model Card on HF 🤗: https://huggingface.co/avemio/German_RAG-LLAMA-3.1-8B-CPT-HESSIAN-AI

German RAG LLAMA 3.1 8B CPT HESSIAN AI Parameters and Internals

LLM Name	German RAG LLAMA 3.1 8B CPT HESSIAN AI
Repository 🤗	https://huggingface.co/avemio/German_RAG-LLAMA-3.1-8B-CPT-HESSIAN-AI
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-02-07
Maintainer	avemio
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 0.0 GB
Supported Languages	en de
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.39.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the German RAG LLAMA 3.1 8B CPT HESSIAN AI 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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...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than avemio/German_RAG-LLAMA-3.1-8B-CPT-HESSIAN-AI.