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

Llama 3 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 Llama 3 70B Instruct 4bit and how large is it?

Llama 3 70B Instruct 4bit is developed by sanjay920, a model with 70b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 70B Instruct 4bit perform on standard benchmarks?

Llama 3 70B Instruct 4bit has the following published scores: LMSYS ELO 1318. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 70B Instruct 4bit by sanjay920 — VRAM 39.7GB, 8K context

Name: Llama 3 70B Instruct 4bit
Author: sanjay920

Llama 3 70B Instruct 4bit is an open-source language model by sanjay920. Features: 70b LLM, VRAM: 39.7GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.26, ELO: 1318.

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

Model Card on HF 🤗: https://huggingface.co/sanjay920/Llama-3-70B-Instruct-4bit

Llama 3 70B Instruct 4bit Benchmarks

LMSys ELO 1318 vs 1272 (so35) 3.6%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3 70B Instruct 4bit Parameters and Internals

LLM Name	Llama 3 70B Instruct 4bit
Repository 🤗	https://huggingface.co/sanjay920/Llama-3-70B-Instruct-4bit
Base Model(s)	Llama 3 70B Instruct 32K maywell/Llama-3-70B-Instruct-32k
Model Size	70b
Required VRAM	39.7 GB
Updated	2026-07-03
Maintainer	sanjay920
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
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 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 Llama 3 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