What are the hardware requirements for Llama 3 8B Instruct E7000 Final 3Epochs RAG?

Llama 3 8B Instruct E7000 Final 3Epochs RAG 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 8B Instruct E7000 Final 3Epochs RAG and how large is it?

Llama 3 8B Instruct E7000 Final 3Epochs RAG is developed by josedellasala, 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 Instruct E7000 Final 3Epochs RAG?

Llama 3 8B Instruct E7000 Final 3Epochs RAG is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Instruct E7000 Final 3Epochs RAG by josedellasala — VRAM 16.1GB, 8K context

Name: Llama 3 8B Instruct E7000 Final 3Epochs RAG
Author: josedellasala

Llama 3 8B Instruct E7000 Final 3Epochs RAG is an open-source language model by josedellasala. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.15.

Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/josedellasala/Llama-3-8B-Instruct-E7000-Final-3Epochs-RAG

Llama 3 8B Instruct E7000 Final 3Epochs RAG Parameters and Internals

LLM Name	Llama 3 8B Instruct E7000 Final 3Epochs RAG
Repository 🤗	https://huggingface.co/josedellasala/Llama-3-8B-Instruct-E7000-Final-3Epochs-RAG
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-06-05
Maintainer	josedellasala
Model Type	llama
Instruction-Based	Yes
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
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	128264
Torch Data Type	float16

Rank the Llama 3 8B Instruct E7000 Final 3Epochs RAG 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 Instruct E7000 Final 3Epochs RAG

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 josedellasala/Llama-3-8B-Instruct-E7000-Final-3Epochs-RAG.