Maykeye / text-generation updated 1 year ago

TinyLLama-v0

Name: TinyLLama-v0
Author: Maykeye

This is a first version of recreating roneneldan/TinyStories-1M but using Llama architecture.

Params

0 M

Context

2,048

Downloads 30d

228 K

Likes

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

Download history

daily snapshots · 10 days

228 K207 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	bf16	0.0 GB	0.5 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/tinyllama-v0
{
  "hf_id": "Maykeye/TinyLLama-v0",
  "params_b": 0.00,
  "context_length": 2048,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 227503,
  "vram_estimates": [
    { "quant": "bf16", "gb": 0.5 }
  ],
  "updated_at": "2026-07-28T18:08:03Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 0 M
Tensor type: BF16
Context length: 2,048
Vocabulary: 32,000
Layers / heads: 8 / 16
Licence: apache-2.0
First seen on the Hub: 2023-07-08
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Appears in

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