Hai929 / text-generation updated 8 months ago

The_GuageLLM_23M

Name: The_GuageLLM_23M
Author: Hai929

GuageLLM-23M is a lightweight GPT-style language model (~23 million parameters) trained from scratch for experimentation, learning, and fast local inference.

Params

20 M

Context

—

Downloads 30d

314 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 22 days

324 K194 K

Aug 31Sep 7Sep 14Sep 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	f32	0.1 GB	0.6 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/the-guagellm-23m
{
  "hf_id": "Hai929/The_GuageLLM_23M",
  "params_b": 0.02,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 313659,
  "vram_estimates": [
    { "quant": "f32", "gb": 0.6 }
  ],
  "updated_at": "2026-08-31T01:00:30Z"
}

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

Specifications

Architecture: GPT2LMHeadModel
Parameters: 20 M
Tensor type: F32
Vocabulary: 32,000
Licence: apache-2.0
First seen on the Hub: 2025-12-12
Training datasets: undisclosed
Added to our catalog: 2026-08-31

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