casperhansen / text-generation updated 2 years ago

llama-3-8b-instruct-awq

Params
8.0 B
Context
8,192
Downloads 30d
173 K
Likes
31
Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (1 recorded)
173 K downloads in the last 30 days

Can you run it?

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

FileQuantSizeEst. VRAMVerdict 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": 172936,
  "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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