meta-llama / text-generation updated 1 year ago

Meta-Llama-3-8B-Instruct

Name: Meta-Llama-3-8B-Instruct
Author: meta-llama

Params

8.0 B

Context

—

Downloads 30d

1.8 M

Likes

4,795

Commercial use: conditional · llama3 Gated — accept licence SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.8 M1.7 M

Jul 28Jul 31Aug 3Aug 6

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	bf16	16.1 GB	19.4 GB	✅ Runs comfortably

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-3-8b-instruct
{
  "hf_id": "meta-llama/Meta-Llama-3-8B-Instruct",
  "params_b": 8.03,
  "context_length": null,
  "license": { "id": "llama3", "commercial": "conditional" },
  "downloads_30d": 1805965,
  "vram_estimates": [
    { "quant": "bf16", "gb": 19.4 }
  ],
  "updated_at": "2026-07-28T18:02:56Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 8.0 B
Tensor type: BF16
Licence: llama3
First seen on the Hub: 2024-04-17
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-8B 16.3 M Qwen2.5-7B-Instruct 12.1 M Qwen3.6-35B-A3B-NVFP4 11.3 M Llama-3.1-8B-Instruct 8.0 M Qwen2.5-7B-Instruct-AWQ 4.6 M granite-4.1-8b 4.2 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB