casperhansen / text-generation updated 2 years ago

llama-3-8b-instruct-awq

Name: llama-3-8b-instruct-awq
Author: casperhansen

Params

8.0 B

Context

8,192

Downloads 30d

265 K

Likes

Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 46 days

▲ 88 K in the last 30 days (25.0%)

356 K173 K

Aug 7Aug 22Sep 6Sep 21

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	5.7 GB	8.0 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/llama-3-8b-instruct-awq
{
  "hf_id": "casperhansen/llama-3-8b-instruct-awq",
  "params_b": 8.03,
  "context_length": 8192,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 264588,
  "vram_estimates": [
    { "quant": "i32", "gb": 8.0 }
  ],
  "updated_at": "2026-08-07T01:00:33Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 8.0 B
Tensor type: I32
Context length: 8,192
Vocabulary: 128,256
Layers / heads: 32 / 32
First seen on the Hub: 2024-04-18
Training datasets: undisclosed
Added to our catalog: 2026-08-07

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