japanese-gpt-neox-small
This repository provides a small-sized Japanese GPT-NeoX model. The model was trained using code based on EleutherAI/gpt-neox.
Params
200 M
Context
2,048
Downloads 30d
575 K
Likes
15
Download history
daily snapshots · 56 days
▲ 74 K in the last 30 days (14.7%)
584 K501 K
Aug 23Sep 2Sep 12Sep 21
584 K344 K
Jul 28Aug 15Sep 3Sep 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 | 0.7 GB | 1.3 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 -s https://aimodelscomparison.com/api/v1/models/japanese-gpt-neox-small
{
"hf_id": "rinna/japanese-gpt-neox-small",
"params_b": 0.20,
"context_length": 2048,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 575189,
"vram_estimates": [
{ "quant": "f32", "gb": 1.3 }
],
"updated_at": "2026-07-28T18:06:13Z"
}
Specifications
- Architecture
- GPTNeoXForCausalLM
- Parameters
- 200 M
- Tensor type
- F32
- Context length
- 2,048
- Vocabulary
- 44,416
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2022-08-31
- Training datasets
- cc100, Wikipedia, mc4
- Added to our catalog
- 2026-07-28
Compare with any text-generation model