What are the hardware requirements for Llama 3.1 8B Sti Anamnese Lora?

Llama 3.1 8B Sti Anamnese Lora requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 8B Sti Anamnese Lora and how large is it?

Llama 3.1 8B Sti Anamnese Lora is developed by Superkon3000, 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 Llama 3.1 8B Sti Anamnese Lora?

Llama 3.1 8B Sti Anamnese Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Sti Anamnese Lora by Superkon3000 — VRAM 0.2GB

Name: Llama 3.1 8B Sti Anamnese Lora
Author: Superkon3000

Llama 3.1 8B Sti Anamnese Lora is an open-source language model by Superkon3000. Features: 8b LLM, VRAM: 0.2GB, License: llama3.1, Quantized, Instruction-Based, LLM Explorer Score: 0.28.

4bit Adapter Conversational De Finetuned German Information-extraction Instruct Llama Lora Medical Peft Quantized Region:us Safetensors Sft Structured-generation Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Superkon3000/Llama-3.1-8B-sti-anamnese-lora

Llama 3.1 8B Sti Anamnese Lora Parameters and Internals

LLM Name	Llama 3.1 8B Sti Anamnese Lora
Repository 🤗	https://huggingface.co/Superkon3000/Llama-3.1-8B-sti-anamnese-lora
Base Model(s)	unsloth/meta-llama-3.1-8b-instruct-bnb-4bit unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
Model Size	8b
Required VRAM	0.2 GB
Updated	2026-09-28
Maintainer	Superkon3000
Instruction-Based	Yes
Model Files	0.2 GB
Supported Languages	de
Quantization Type	4bit
Model Architecture	Adapter
License	llama3.1
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|v_proj\|q_proj\|gate_proj\|down_proj\|k_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Llama 3.1 8B Sti Anamnese Lora 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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Llama 3.1 8B PubMedQA QLoRA	0K / 0.2 GB	6	2
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Llama 3 8B Finetuned	0K / 0.1 GB	7	1
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... 3 8B Instruct Bvr Finetune V3	8K / 16.1 GB	11	0
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...eta Llama 3 8B Instruct Amazon	0K / 0 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than Superkon3000/Llama-3.1-8B-sti-anamnese-lora.