LSX-UniWue / text-generation updated 9 months ago

LLaMmlein_1B_prerelease

Name: LLaMmlein_1B_prerelease
Author: LSX-UniWue

This is a German Tinyllama 1B language model trained from scratch using the Tinyllama codebase on the German portion of RedPajama V2. Find more details on our page and our preprint!

Params

1.1 B

Context

2,048

Downloads 30d

185 K

Likes

Licence: other Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

185 K180 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	f32	4.4 GB	5.5 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/llammlein-1b-prerelease
{
  "hf_id": "LSX-UniWue/LLaMmlein_1B_prerelease",
  "params_b": 1.10,
  "context_length": 2048,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 184807,
  "vram_estimates": [
    { "quant": "f32", "gb": 5.5 }
  ],
  "updated_at": "2026-07-28T18:08:34Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 1.1 B
Tensor type: F32
Context length: 2,048
Vocabulary: 32,000
Layers / heads: 22 / 32
Licence: other
First seen on the Hub: 2024-10-15
Training datasets: togethercomputer/RedPajama-Data-V2, LSX-UniWue/LLaMmlein-Dataset
Added to our catalog: 2026-07-28

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-0.5B-Instruct 6.6 M gemma-3-1b-it 4.7 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB