What are the hardware requirements for Llama 3 8B Hendrycks Math 2K?

Llama 3 8B Hendrycks Math 2K requires approximately 13.7 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 8B Hendrycks Math 2K and how large is it?

Llama 3 8B Hendrycks Math 2K is developed by rwoo50, 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 8B Hendrycks Math 2K?

Llama 3 8B Hendrycks Math 2K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Hendrycks Math 2K by rwoo50 — VRAM 13.7GB, 8K context

Name: Llama 3 8B Hendrycks Math 2K
Author: rwoo50

Llama 3 8B Hendrycks Math 2K is an open-source language model by rwoo50. Features: 8b LLM, VRAM: 13.7GB, Context: 8K, LLM Explorer Score: 0.12.

Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/rwoo50/llama-3-8b-hendrycks_math-2k

Llama 3 8B Hendrycks Math 2K Parameters and Internals

LLM Name	Llama 3 8B Hendrycks Math 2K
Repository 🤗	https://huggingface.co/rwoo50/llama-3-8b-hendrycks_math-2k
Model Size	8b
Required VRAM	13.7 GB
Updated	2026-08-06
Maintainer	rwoo50
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.7 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.33.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 8B Hendrycks Math 2K 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 rwoo50/llama-3-8b-hendrycks_math-2k.