What are the hardware requirements for BioMed Tuned Llama 3 8B?

BioMed Tuned Llama 3 8B requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BioMed Tuned Llama 3 8B and how large is it?

BioMed Tuned Llama 3 8B is developed by NouRed, 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 BioMed Tuned Llama 3 8B?

BioMed Tuned Llama 3 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BioMed Tuned Llama 3 8B by NouRed — VRAM 0.1GB

Name: BioMed Tuned Llama 3 8B
Author: NouRed

BioMed Tuned Llama 3 8B is an open-source language model by NouRed. Features: 8b LLM, VRAM: 0.1GB, License: llama3, LLM Explorer Score: 0.12.

En Endpoints compatible Lora Medical Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/NouRed/BioMed-Tuned-Llama-3-8b

BioMed Tuned Llama 3 8B Parameters and Internals

Model Type

decoder-only transformer, text generation

Use Cases

Areas:

biomedical domain, general text generation

Additional Notes

BioMed-LLaMa-3-8B addresses constraints in using pre-trained LLMs in the biomedical domain through fine-tuning.

Training Details

Data Sources:

Alpaca medical instruction data

Methodology:

Efficiently fine-tuned using QLoRa

Context Length:

8192

Model Architecture:

decoder-only transformer with 128K-token vocabulary and grouped query attention

LLM Name	BioMed Tuned Llama 3 8B
Repository 🤗	https://huggingface.co/NouRed/BioMed-Tuned-Llama-3-8b
Model Size	8b
Required VRAM	0.1 GB
Updated	2026-07-29
Maintainer	NouRed
Model Files	0.1 GB
Supported Languages	en
Model Architecture	AutoModel
License	llama3
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|gate_proj\|o_proj\|up_proj\|q_proj\|v_proj\|k_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	8

Rank the BioMed Tuned Llama 3 8B 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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Note: green Score (e.g. "73.2") means that the model is better than NouRed/BioMed-Tuned-Llama-3-8b.