What are the hardware requirements for Llama3 70B Instruct 4bit?

Llama3 70B Instruct 4bit requires approximately 39.7 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 Llama3 70B Instruct 4bit and how large is it?

Llama3 70B Instruct 4bit is developed by screevoai, a model with 70b 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 Llama3 70B Instruct 4bit?

Llama3 70B Instruct 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 70B Instruct 4bit by screevoai — VRAM 39.7GB, 8K context

Name: Llama3 70B Instruct 4bit
Author: screevoai

Llama3 70B Instruct 4bit is an open-source language model by screevoai. Features: 70b LLM, VRAM: 39.7GB, Context: 8K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit 4bit Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... Bitsandbytes Conversational Endpoints compatible Instruct Llama Llama3 Meta Model-index Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/screevoai/llama3-70b-instruct-4bit

Llama3 70B Instruct 4bit Parameters and Internals

Model Type

text-generation

Additional Notes

The model requires authentication to access, and a script is provided for usage, indicating that it needs Hugging Face's authentication for usage, showcasing a specific Python setup for generating text with the model.

LLM Name	Llama3 70B Instruct 4bit
Repository 🤗	https://huggingface.co/screevoai/llama3-70b-instruct-4bit
Base Model(s)	Meta Llama 3 70B Instruct meta-llama/Meta-Llama-3-70B-Instruct
Model Size	70b
Required VRAM	39.7 GB
Updated	2026-07-16
Maintainer	screevoai
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-8 5.0 GB: 2-of-8 5.0 GB: 3-of-8 4.9 GB: 4-of-8 5.0 GB: 5-of-8 5.0 GB: 6-of-8 5.0 GB: 7-of-8 4.8 GB: 8-of-8
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.37.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 70B Instruct 4bit 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 Llama3 70B Instruct 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 8bit	1024K / 75 GB	41	5
...B Instruct Gradient 1048K 4bit	1024K / 39.7 GB	25	3
...B Instruct Gradient 1048K 2bit	1024K / 21.9 GB	25	2
...0B Instruct Gradient 262K 4bit	256K / 39.7 GB	25	3
...0B Instruct Gradient 262K 8bit	256K / 75 GB	26	2
...0B Instruct Gradient 262K 2bit	256K / 21.9 GB	20	1
... Gradient 262K 2.25bpw H6 EXL2	256K / 22.2 GB	8	0
...t Gradient 262K 4.0bpw H6 EXL2	256K / 37.2 GB	7	1
...t Gradient 262K 2.4bpw H6 EXL2	256K / 23.5 GB	6	0
...t Gradient 262K 3.5bpw H6 EXL2	256K / 32.9 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than screevoai/llama3-70b-instruct-4bit.