What are the hardware requirements for Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit?

Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit?

Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit by spiralMon — VRAM 16.1GB, 128K context

Name: Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit
Author: spiralMon

Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit is an open-source language model by spiralMon. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.26.

4bit Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-... En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/spiralMon/Twin-LLM-Fine-Tuned-Instruct-Model-Llama-3.1-8B-bnb-4bit

Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit Parameters and Internals

LLM Name	Twin LLM Fine Tuned Instruct Model Llama 3.1 8B Bnb 4bit
Repository 🤗	https://huggingface.co/spiralMon/Twin-LLM-Fine-Tuned-Instruct-Model-Llama-3.1-8B-bnb-4bit
Base Model(s)	unsloth/Meta-Llama-3.1-8B-bnb-4bit unsloth/Meta-Llama-3.1-8B-bnb-4bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-12
Maintainer	spiralMon
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
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

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