What are the hardware requirements for Llama 3 8B Bnb 4bit Robot Instruct?

Llama 3 8B Bnb 4bit Robot Instruct 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 Bnb 4bit Robot Instruct and how large is it?

Llama 3 8B Bnb 4bit Robot Instruct is developed by Studeni, 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 Bnb 4bit Robot Instruct?

Llama 3 8B Bnb 4bit Robot Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Bnb 4bit Robot Instruct by Studeni — VRAM 0.2GB

Name: Llama 3 8B Bnb 4bit Robot Instruct
Author: Studeni

Llama 3 8B Bnb 4bit Robot Instruct is an open-source language model by Studeni. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-... Dataset:studeni/robot-instruct... En Endpoints compatible Instruct Llama Lora Quantized Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Studeni/llama-3-8b-bnb-4bit-robot-instruct

Llama 3 8B Bnb 4bit Robot Instruct Parameters and Internals

LLM Name	Llama 3 8B Bnb 4bit Robot Instruct
Repository 🤗	https://huggingface.co/Studeni/llama-3-8b-bnb-4bit-robot-instruct
Base Model(s)	Llama 3 8B Bnb 4bit unsloth/llama-3-8b-bnb-4bit
Model Size	8b
Required VRAM	0.2 GB
Updated	2024-08-13
Maintainer	Studeni
Instruction-Based	Yes
Model Files	0.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	AutoModel
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	down_proj\|v_proj\|k_proj\|gate_proj\|up_proj\|q_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Llama 3 8B Bnb 4bit Robot Instruct 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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Note: green Score (e.g. "73.2") means that the model is better than Studeni/llama-3-8b-bnb-4bit-robot-instruct.