# Nebius Token Factory fine-tuning (slim)

> Nebius Token Factory runs supervised fine-tuning jobs on open models such as Llama, Qwen, gpt-oss, Gemma and DeepSeek through an OpenAI-compatible REST API, with LoRA or full weights and downloadable checkpoints.

- Full: https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning.md (~8,050 tokens) · this version ~1,580 tokens · JSON https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning.json · canonical https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

**D · 47.7/100 · rank #738 of 842 · #9 in Fine-tuning · not agent-ready · confidence medium**


Assessment: Supervised fine-tuning on 49 open base models through OpenAI-style `/v1/fine_tuning/jobs` calls, with LoRA or full weights and every checkpoint file downloadable. No fine-tuning price was found outside the script-drawn console, and the docs say tuned models deploy only to dedicated endpoints, with custom weights in beta on request.

## Facts

- Kind: HTTP API · vendor: Nebius · category: Fine-tuning · legal entity: Nebius B.V. · provenance 88/100
- Endpoint: `https://api.tokenfactory.nebius.com/v1` (HTTP)
- Auth: API key · pricing: Pay per use · x402: no · licence: Proprietary service (cookbook examples MIT)
- Probe metrics: not measured yet (probes haven't run)
- Methods: Supervised fine-tuning, LoRA or full weights, and custom speculator (`spec-draft`) training. Jobs can continue from a checkpoint or a Hugging Face repository (`from_checkpoint`). Reinforcement fine-tuning is a professional service on request
- Base models: 49 listed. 42 take LoRA and full fine-tuning, 7 (DeepSeek, Gemma 4, Qwen3.5 27B, Qwen3.6 27B) full fine-tuning only
- Context length: 8,192 by default, up to 131,072 tokens
- Weights: Yes. Each checkpoint lists `result_files` to download through the Files API, and an `hf` integration exports to a Hugging Face repository
- Serving: Dedicated endpoints only, per the models page. Custom model weights are in beta and available on request
- Data: JSONL in conversational, instruction, text or pre-tokenised form. 20GB through the Files API, 50GB through Data Lab. Stored in the EU
- Hyperparameters: `n_epochs` 1 to 20, `batch_size` 1 to 64, `lora_r` 8 to 128, plus learning rate, warm-up, weight decay, packing and gradient clipping
- Free tier: $1 trial credit for 30 days, after a bank card is added

- Scores: Reliability 45, Performance pending, Schema & documentation 68, Agent ergonomics 51, Security & auth 52, Payments & pricing 0, Task success pending, Maintenance & community 61, Transparency & trust 79 · negative events -2 · total over the 7 assessed categories
- Why: Reliability, Scored with the hosted lines. · Schema & documentation, A public OpenAPI 3.1 file at api.tokenfactory.nebius.com/openapi.json covers `/v1/fine_tuning/jobs`, events, checkpoints, files, datasets an… · Agent ergonomics, List calls take `limit`, and job objects are compact, with no field selection (12). · Security & auth, Bearer API keys created and deleted per project in the console, shown once. · Payments & pricing, No machine payment protocol (0). · Maintenance & community, The OpenAPI file is stamped 20260930 and the fine-tuning reference pages were last modified on 2 October 2026 per the docs sitemap (30). · Transparency & trust, Closed service under the Nebius Services Agreement and Token Factory Supplemental Terms, which name the contracting entity by region.
- Sources: 30, open questions: 7, both in the full twin
- Capabilities: finetune.sft, finetune.lora, finetune.export
- JSON: https://www.anchorterminal.com/api/v1/tools/nebius-token-factory-fine-tuning.json
- Verify (for the vendor): the badge `https://www.anchorterminal.com/badges/nebius-token-factory-fine-tuning.svg` or a link to https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning from a page on nebius.com or one of its subdomains, or the README of github.com/nebius/token-factory-cookbook, then `POST https://www.anchorterminal.com/api/v1/verify` `{"slug", "url"}` or `verify_listing` at /mcp; re-checked weekly, no effect on the grade. Snippets in the full twin.

## Before you call it

1. Use the OpenAI client with `base_url` `https://api.tokenfactory.nebius.com/v1/` and `NEBIUS_API_KEY`. Upload JSONL with `purpose=fine-tune`, then create the job.
2. Set `hyperparameters.lora` to true for an adapter. The default is false, which runs full fine-tuning.
3. Poll `GET /v1/fine_tuning/jobs/{job_id}` no faster than every 15 seconds. There is no idempotency key, so list jobs before recreating one after a timeout.
4. Download every ID in a checkpoint's `result_files` before relying on hosted copies. The terms allow deletion of tuned models at three days' notice.
5. The spec requires `wandb.api_key` although the guide omits it, and it also accepts `mlflow` and `hf` integrations. Check the price in the console before starting a job.

## Connect

```bash
pip3 install --upgrade openai
```

```bash
curl 'https://api.tokenfactory.nebius.com/v1/fine_tuning/jobs' \
  -X POST \
  -H 'Accept: application/json' \
  -H 'Content-Type: application/json' \
  -H "Authorization: Bearer $NEBIUS_API_KEY" \
  -d '{"model":"meta-llama/Llama-3.1-8B-Instruct","suffix":"my-domain-adapter","training_file":"<training_file_ID>","hyperparameters":{"n_epochs":3,"lora":true,"lora_r":16,"lora_alpha":16}}'
```
Full config and headless snippets are in the full page. Through letme (picks today, calling later): https://letme.dev/nebius-token-factory-fine-tuning

## Similar tools

| Tool | Grade | Score | Shared capabilities | Slim |
| --- | --- | --- | --- | --- |
| Axolotl | B | 64.8 | finetune.sft, finetune.lora, finetune.export | https://www.anchorterminal.com/tools/axolotl.min.md |
| Fireworks AI Fine-tuning | C | 59 | finetune.sft, finetune.lora, finetune.export | https://www.anchorterminal.com/tools/fireworks-fine-tuning.min.md |
| Together AI Fine-tuning | C | 54.7 | finetune.sft, finetune.lora, finetune.export | https://www.anchorterminal.com/tools/together-fine-tuning.min.md |
| Unsloth | D | 51.5 | finetune.sft, finetune.lora, finetune.export | https://www.anchorterminal.com/tools/unsloth.min.md |
| Tinker | D | 51 | finetune.sft, finetune.lora, finetune.export | https://www.anchorterminal.com/tools/tinker.min.md |


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