What are the hardware requirements for Llama 3.1 8B Roleplay BSNL Gguf?

Llama 3.1 8B Roleplay BSNL Gguf requires approximately 4.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 8B Roleplay BSNL Gguf and how large is it?

Llama 3.1 8B Roleplay BSNL Gguf is developed by samunder12, 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 3.1 8B Roleplay BSNL Gguf?

Llama 3.1 8B Roleplay BSNL Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Roleplay BSNL Gguf by samunder12 — VRAM 4.9GB

Name: Llama 3.1 8B Roleplay BSNL Gguf
Author: samunder12

Llama 3.1 8B Roleplay BSNL Gguf is an open-source language model by samunder12. Features: 8b LLM, VRAM: 4.9GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Bitsandbytes Character Conversational Endpoints compatible Gguf Instruct Llama Peft Quantized Region:us Roleplay Rp Unsloth

Model Card on HF 🤗: https://huggingface.co/samunder12/llama-3.1-8b-roleplay-BSNL-gguf

Llama 3.1 8B Roleplay BSNL Gguf Parameters and Internals

LLM Name	Llama 3.1 8B Roleplay BSNL Gguf
Repository 🤗	https://huggingface.co/samunder12/llama-3.1-8b-roleplay-BSNL-gguf
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	4.9 GB
Updated	2026-07-30
Maintainer	samunder12
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Llama 3.1 8B Roleplay BSNL Gguf capabilities

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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

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