What are the hardware requirements for Llama 3 8B Instruct Bvr Finetune V3?

Llama 3 8B Instruct Bvr Finetune V3 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 Bvr Finetune V3 and how large is it?

Llama 3 8B Instruct Bvr Finetune V3 is developed by Akshay47, 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 Bvr Finetune V3?

Llama 3 8B Instruct Bvr Finetune V3 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 Bvr Finetune V3 by Akshay47 — VRAM 16.1GB, 8K context

Name: Llama 3 8B Instruct Bvr Finetune V3
Author: Akshay47

Llama 3 8B Instruct Bvr Finetune V3 is an open-source language model by Akshay47. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla... Finetuned Instruct Llama Lora Peft Region:us Safetensors Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/Akshay47/Llama-3-8B-Instruct_bvr_finetune_v3

Llama 3 8B Instruct Bvr Finetune V3 Parameters and Internals

LLM Name	Llama 3 8B Instruct Bvr Finetune V3
Repository 🤗	https://huggingface.co/Akshay47/Llama-3-8B-Instruct_bvr_finetune_v3
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-09-12
Maintainer	Akshay47
Model Type	llama
Instruction-Based	Yes
Model Files	0.1 GB 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 0.0 GB
Model Architecture	Adapter
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0.dev0
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|gate_proj\|down_proj\|v_proj\|o_proj\|up_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16
Torch Data Type	float16

Rank the Llama 3 8B Instruct Bvr Finetune V3 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 Bvr Finetune V3

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...Max H3 Prompt Rewriter LoRA 8B	0K / 2.8 GB	137	26
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Drv Corrected Opd Qwen3 Vl 8B	0K / 0.3 GB	6	1
...eta Llama 3 8B Instruct Amazon	0K / 0 GB	6	0
Victor Triage Lora Llama3.1 8B	0K / 0.1 GB	7	0
Flippa V6	0K / 0 GB	8	1
...B Instruct DPO 0R100L PoliTune	0K / 16.1 GB	5	0
...B Lora Rag Citation Generation	0K / 0 GB	21	4
...a 8B Rank 128 INSTRUCT Adapter	0K / 0.7 GB	18	1
Vortex2	0K / 4.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Akshay47/Llama-3-8B-Instruct_bvr_finetune_v3.