What are the hardware requirements for Llama 3 8B Instruct Bnb Telcom 3?

Llama 3 8B Instruct Bnb Telcom 3 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 8B Instruct Bnb Telcom 3 and how large is it?

Llama 3 8B Instruct Bnb Telcom 3 is developed by youssef227, 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 Bnb Telcom 3?

Llama 3 8B Instruct Bnb Telcom 3 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 Bnb Telcom 3 by youssef227 — VRAM 0.2GB

Name: Llama 3 8B Instruct Bnb Telcom 3
Author: youssef227

Llama 3 8B Instruct Bnb Telcom 3 is an open-source language model by youssef227. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4-bit 4bit Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-... Bitsandbytes Conversational En Endpoints compatible Instruct Llama Lora Quantized Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/youssef227/llama-3-8b-Instruct-bnb-telcom-3

Llama 3 8B Instruct Bnb Telcom 3 Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This model was trained 2x faster with Unsloth and Huggingface's TRL library.

Supported Languages

en (proficient)

Training Details

Methodology:

Trained 2x faster with Unsloth and Huggingface's TRL library

LLM Name	Llama 3 8B Instruct Bnb Telcom 3
Repository 🤗	https://huggingface.co/youssef227/llama-3-8b-Instruct-bnb-telcom-3
Base Model(s)	Llama 3 8B Instruct Bnb 4bit unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size	8b
Required VRAM	0.2 GB
Updated	2025-09-23
Maintainer	youssef227
Instruction-Based	Yes
Model Files	0.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Model Max Length	8192
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|q_proj\|up_proj\|gate_proj\|o_proj\|v_proj\|down_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Llama 3 8B Instruct Bnb Telcom 3 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

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Note: green Score (e.g. "73.2") means that the model is better than youssef227/llama-3-8b-Instruct-bnb-telcom-3.