hugging-quants / text-generation Open weights updated 2 years ago

Meta-Llama-3.1-70B-Instruct-AWQ-INT4

Name: Meta-Llama-3.1-70B-Instruct-AWQ-INT4
Author: hugging-quants

> [!IMPORTANT] > This repository is a community-driven quantized version of the original model meta-llama/Meta-Llama-3.1-70B-Instruct which is the FP16 half-precision official version released by Meta AI.

Params

70.6 B

Context

131,072

Downloads 30d

140 K

Likes

111

Commercial use: conditional · llama3.1 Not gated SAFETENSORS 8 languages View on Hugging Face ↗

Download history

daily snapshots · 90 days

▲ 43 K in the last 30 days (23.7%)

259 K140 K

Jul 28Aug 27Sep 26Oct 25

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	i32	39.8 GB	54.8 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 128K ctx	39.8 GB	213.6 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/meta-llama-3-1-70b-instruct-awq-int4
{
  "hf_id": "hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4",
  "params_b": 70.55,
  "context_length": 131072,
  "license": { "id": "llama3.1", "commercial": "conditional" },
  "downloads_30d": 140116,
  "vram_estimates": [
    { "quant": "i32", "gb": 54.8 }
  ],
  "updated_at": "2026-07-28T18:07:08Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: LlamaForCausalLM
Parameters: 70.6 B
Tensor type: I32
Context length: 131,072
Vocabulary: 128,256
Layers / heads: 80 / 64
Licence: llama3.1
First seen on the Hub: 2024-07-19
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with any text-generation model

Popular comparisons

gpt-oss-20b 5.8 M dolphin-2.9.1-yi-1.5-34b 4.6 M gpt-oss-120b 2.9 M OTel-2.0-LLM-31B-IT 212 K Llama-3.1-70B-Instruct 203 K Qwen-72B 157 K