MaxJeblick / text-generation Open weights updated 2 years ago

llama2-0b-unit-test

Name: llama2-0b-unit-test
Author: MaxJeblick

Small dummy LLama2-type Model useable for Unit/Integration tests. Suitable for CPU only machines, see H2O LLM Studio for an example integration test.

Params

0.8 M

Context

1,024

Downloads 30d

145 K

Likes

Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 19 days

153 K138 K

Oct 23Oct 29Nov 4Nov 10

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	0.0 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/llama2-0b-unit-test
{
  "hf_id": "MaxJeblick/llama2-0b-unit-test",
  "params_b": 0.00,
  "context_length": 1024,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 145126,
  "vram_estimates": [
    { "quant": "f32", "gb": 0.5 }
  ],
  "updated_at": "2026-10-23T01:00:24Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 0.8 M
Tensor type: F32
Context length: 1,024
Vocabulary: 32,000
Layers / heads: 2 / 2
First seen on the Hub: 2023-10-25
Training datasets: undisclosed
Added to our catalog: 2026-10-23

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