What are the hardware requirements for Llama 3 8B Jonathan ALLM Instruct V1.0?

Llama 3 8B Jonathan ALLM Instruct V1.0 requires approximately 32.1 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 8B Jonathan ALLM Instruct V1.0 and how large is it?

Llama 3 8B Jonathan ALLM Instruct V1.0 is developed by AcrylaLLM, 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 Jonathan ALLM Instruct V1.0?

Llama 3 8B Jonathan ALLM Instruct V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Jonathan ALLM Instruct V1.0 by AcrylaLLM — VRAM 32.1GB, 8K context

Name: Llama 3 8B Jonathan ALLM Instruct V1.0
Author: AcrylaLLM

Llama 3 8B Jonathan ALLM Instruct V1.0 is an open-source language model by AcrylaLLM. Features: 8b LLM, VRAM: 32.1GB, Context: 8K, License: proprietary, Instruction-Based, LLM Explorer Score: 0.13.

Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Dataset:acyrl Dataset:counter-mt-bench Dataset:llm-kr-eval Dora Endpoints compatible Instruct Ko Korean Llama Llama3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/AcrylaLLM/Llama-3-8B-Jonathan-aLLM-Instruct-v1.0

Llama 3 8B Jonathan ALLM Instruct V1.0 Parameters and Internals

LLM Name	Llama 3 8B Jonathan ALLM Instruct V1.0
Repository 🤗	https://huggingface.co/AcrylaLLM/Llama-3-8B-Jonathan-aLLM-Instruct-v1.0
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	32.1 GB
Updated	2025-02-27
Maintainer	AcrylaLLM
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-7 4.8 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.6 GB: 7-of-7
Supported Languages	ko
Gated Model	Yes
Model Architecture	LlamaForCausalLM
License	proprietary
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	[PAD]
Vocabulary Size	128257
Torch Data Type	float32

Rank the Llama 3 8B Jonathan ALLM Instruct V1.0 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

Best Alternatives to Llama 3 8B Jonathan ALLM Instruct V1.0

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...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
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than AcrylaLLM/Llama-3-8B-Jonathan-aLLM-Instruct-v1.0.