Model reference · open weights

NanoDex

Available as managed deployment Licence fee LLMs DedeProGames · community Text gen 1 variants 532 dl/mo

NanoDex is an open-weight language model from DedeProGames. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byDedeProGames
TypeLanguage models
TaskText gen
Parameters (lead)1M
Context512 tokens
Runs withtransformers
Released2026-09-12
Popularity532 downloads / month
LicenceCommercial licence needed

About

What NanoDex is

A 1,062,272-parameter decoder-only language model pre-trained from scratch on fineweb-edu, using the NanoDex Trainer Space.

Read the full model card

Architecture

A standard LlamaForCausalLM decoder-only transformer — SiLU MLP, RMSNorm, rotary position embeddings, grouped-query attention, tied embeddings, no biases — scaled down in width and depth to fit the parameter budget.

Parameters1,062,272
Hidden size128
Layers5
Attention heads8 (KV: 4)
FFN size288
Context length512
Vocab2,048 (custom BPE trained on fineweb-edu)

Training

Tokens seen999,817,216
Steps3,814
Tokens / step262,144
OptimizerAdamW(0.9, 0.95) wd=0.1 clip=1.0
LR schedulewarmup 2% + cosine to 10% (peak 3e-03)
Final loss3.3092 (ppl 27.4)
Wall time43.8 min
Trained by@DedeProGames

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

tok = AutoTokenizer.from_pretrained("DedeProGames/NanoDex-1M")
model = AutoModelForCausalLM.from_pretrained("DedeProGames/NanoDex-1M")

ids = tok("The mitochondria is", return_tensors="pt").input_ids
print(tok.decode(model.generate(ids, max_new_tokens=60, do_sample=True,
                                temperature=0.8, top_k=50)[0]))

Caveats

This is a nano-scale research artifact. At this parameter count and token budget the model learns word shapes, common collocations and a little syntax — it is not a useful assistant and its output is not factual. It exists to make "pre-train a transformer from scratch" something you can actually watch happen.

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys nanodex for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nanodex below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"nanodex","messages":[{"role":"user","content":"Hello"}]}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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