What are the hardware requirements for Llama 3 70B Instruct Bnb 4bit?

Llama 3 70B Instruct Bnb 4bit requires approximately 39.5 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 Llama 3 70B Instruct Bnb 4bit and how large is it?

Llama 3 70B Instruct Bnb 4bit is developed by unsloth, 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 Llama 3 70B Instruct Bnb 4bit?

Llama 3 70B Instruct Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 70B Instruct Bnb 4bit by unsloth — VRAM 39.5GB, 8K context

Name: Llama 3 70B Instruct Bnb 4bit
Author: unsloth

Llama 3 70B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 70b LLM, VRAM: 39.5GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit 4bit Bitsandbytes Conversational En Endpoints compatible Instruct Llama Llama-3 Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/llama-3-70b-Instruct-bnb-4bit

Llama 3 70B Instruct Bnb 4bit Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

NLP, text generation

Additional Notes

The model can be fine-tuned for improving performance and reducing memory usage.

LLM Name	Llama 3 70B Instruct Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/llama-3-70b-Instruct-bnb-4bit
Model Size	70b
Required VRAM	39.5 GB
Updated	2026-07-23
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
Model Files	7.0 GB: 1-of-6 6.9 GB: 2-of-6 6.9 GB: 3-of-6 6.9 GB: 4-of-6 7.0 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 70B Instruct Bnb 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

Quantized Models of the Llama 3 70B Instruct Bnb 4bit

Model	Likes	Downloads	VRAM
... College Medicine Af Mmlu Good	1	13	141 GB
...lama 3 70B Instruct Uncensored	17	32	141 GB
DAD Model V2 70B Q4	0	13	42 GB
Tia 70B RP	1	8	141 GB
...3 70B Instruct Uncensored Lora	3	8	0 GB
...3 70B Instruct Uncensored 4bit	2	7	39 GB
...truct Mmlu College Medicine En	0	0	141 GB

Best Alternatives to Llama 3 70B Instruct Bnb 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 unsloth/llama-3-70b-Instruct-bnb-4bit.