NousResearch / text-generation updated 2 years ago

Meta-Llama-3-8B

Name: Meta-Llama-3-8B
Author: NousResearch

Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulne...

Params

8.0 B

Context

8,192

Downloads 30d

291 K

Likes

101

Licence: other Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 7 days

291 K158 K

Jul 31Aug 2Aug 4Aug 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-nousresearch
{
  "hf_id": "NousResearch/Meta-Llama-3-8B",
  "params_b": 8.03,
  "context_length": 8192,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 290926,
  "vram_estimates": [
    { "quant": "bf16", "gb": 19.4 }
  ],
  "updated_at": "2026-07-31T01:00:44Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 8.0 B
Tensor type: BF16
Context length: 8,192
Vocabulary: 128,256
Layers / heads: 32 / 32
Licence: other
First seen on the Hub: 2024-04-18
Training datasets: undisclosed
Added to our catalog: 2026-07-31

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

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