casperhansen / text-generation updated 2 years ago

llama-3-70b-instruct-awq

Name: llama-3-70b-instruct-awq
Author: casperhansen

Params

70.6 B

Context

8,192

Downloads 30d

249 K

Likes

Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

249 K244 K

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	i32	39.8 GB	54.8 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/llama-3-70b-instruct-awq
{
  "hf_id": "casperhansen/llama-3-70b-instruct-awq",
  "params_b": 70.55,
  "context_length": 8192,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 248810,
  "vram_estimates": [
    { "quant": "i32", "gb": 54.8 }
  ],
  "updated_at": "2026-07-28T18:07:20Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 70.6 B
Tensor type: I32
Context length: 8,192
Vocabulary: 128,256
Layers / heads: 80 / 64
First seen on the Hub: 2024-04-18
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M dolphin-2.9.1-yi-1.5-34b 4.6 M gpt-oss-120b 4.2 M NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 2.8 M

Appears in

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