What are the hardware requirements for Llama 3 Wissenschaft 8B V2?

Llama 3 Wissenschaft 8B V2 requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 Wissenschaft 8B V2 and how large is it?

Llama 3 Wissenschaft 8B V2 is developed by nbeerbower, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 Wissenschaft 8B V2 perform on standard benchmarks?

Llama 3 Wissenschaft 8B V2 has the following published scores: MMLU 68.3. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 Wissenschaft 8B V2 by nbeerbower — VRAM 16.1GB, 8K context

Name: Llama 3 Wissenschaft 8B V2
Author: nbeerbower

Llama 3 Wissenschaft 8B V2 is an open-source language model by nbeerbower. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: other, LLM Explorer Score: 0.13, Arc: 73.4, HellaSwag: 87.1, MMLU: 68.3, GSM8K: 65.3.

Base model:finetune:nbeerbower... Base model:nbeerbower/llama-3-... Conversational Dataset:tasksource/scienceqa t... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/llama-3-wissenschaft-8B-v2

Llama 3 Wissenschaft 8B V2 Parameters and Internals

Model Type

fine-tuned model, text generation

Training Details

Data Sources:

https://huggingface.co/datasets/tasksource/ScienceQA_text_only

Methodology:

Fine-tuned using an A100 on Google Colab.

Context Length:

1024

Hardware Used:

A100

Model Architecture:

Utilizes LoRA configuration and Causal Language Modeling

LLM Name	Llama 3 Wissenschaft 8B V2
Repository 🤗	https://huggingface.co/nbeerbower/llama-3-wissenschaft-8B-v2
Base Model(s)	Llama 3 Bophades V3 8B nbeerbower/llama-3-bophades-v3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-06
Maintainer	nbeerbower
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
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Wissenschaft 8B 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

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/llama-3-wissenschaft-8B-v2.