What are the hardware requirements for Llama 3 15B Instruct Ft V2?

Llama 3 15B Instruct Ft V2 requires approximately 30.1 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 15B Instruct Ft V2 and how large is it?

Llama 3 15B Instruct Ft V2 is developed by elinas, a model with 15b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 15B Instruct Ft V2 perform on standard benchmarks?

Llama 3 15B Instruct Ft V2 has the following published scores: MMLU 67.31. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 15B Instruct Ft V2 by elinas — VRAM 30.1GB, 8K context

Name: Llama 3 15B Instruct Ft V2
Author: elinas

Llama 3 15B Instruct Ft V2 is an open-source language model by elinas. Features: 15b LLM, VRAM: 30.1GB, Context: 8K, License: llama3, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.14, Arc: 61.4, HellaSwag: 78.8, MMLU: 67.3, GSM8K: 72.5.

Base model:elinas/llama-3-15b-... Base model:finetune:elinas/lla... Conversational Dataset:chat-error/pure-dove-s... Endpoints compatible Finetuned Instruct Llama Merge Mergekit Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/elinas/Llama-3-15B-Instruct-ft-v2

Llama 3 15B Instruct Ft V2 Parameters and Internals

LLM Name	Llama 3 15B Instruct Ft V2
Repository 🤗	https://huggingface.co/elinas/Llama-3-15B-Instruct-ft-v2
Base Model(s)	Llama 3 15B Instruct Zeroed elinas/Llama-3-15B-Instruct-zeroed
Model Size	15b
Required VRAM	30.1 GB
Updated	2026-08-03
Maintainer	elinas
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-7 5.0 GB: 2-of-7 4.9 GB: 3-of-7 5.0 GB: 4-of-7 4.9 GB: 5-of-7 4.2 GB: 6-of-7 1.1 GB: 7-of-7
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 15B Instruct Ft 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

Quantized Models of the Llama 3 15B Instruct Ft V2

Model	Likes	Downloads	VRAM
Llama 3 15B Instruct Ft V2 AWQ	0	7	9 GB

Best Alternatives to Llama 3 15B Instruct Ft V2

Best Alternatives	Context / RAM	Downloads	Likes
Hamanasu 15B Instruct	16K / 29.4 GB	473	9
L3 Aethora 15B V2	8K / 30.1 GB	22	42
Meta Llama 3 15B Instruct	8K / 23.9 GB	3	1
OpenCrystal 15B L3 V3	8K / 30 GB	13	10
OpenCrystal L3 15B V2.1	8K / 30 GB	3	5
OpenCrystal 15B L3 V2	8K / 30 GB	3	6
Llama 3 15B Instruct Zeroed Ft	8K / 30.1 GB	19	2
L3 Aethora 15B V2	8K / 30.1 GB	29	44
LLaMa 3 Stheno V3.2 15B	8K / 30 GB	17	5
L3 NA Aethora 15B	8K / 30.1 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than elinas/Llama-3-15B-Instruct-ft-v2.