Which open source models are cheap enough to fine-tune locally without destroying our startup infrastructure budget?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Which open source models are cheap enough to fine-tune locally without destroying our startup infrastructure budget?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
2026 open source language model fine tuning QLoRA GPU memory requirements model licenses Qwen Gemma Llama pricing Google ↗
2026 open weight language models Qwen3.5 Gemma 3 Llama 3.3 small model fine tuning VRAM requirements QLoRA Google ↗
- The Best Open Source and Open-Weight LLM Models to Run Locally in 2026 · huggingface.co
- Qwen/README.md at main · QwenLM/Qwen · github.com
- GitHub - phlx0/awesome-open-weight-models: The practitioner's guide to open-weight LLMs — benchmarks, licensing, hardware, deployment, fine-tuning · github.com
- Open-Weight LLMs: Hardware Requirements for Every Model · llamabuilds.ai
- Which model should you fine-tune? · modelbeats.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 open source language model fine tuning QLoRA GPU memory requirements model licenses Qwen Gemma Llama pricing OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
2026 open weight language models Qwen3.5 Gemma 3 Llama 3.3 small model fine tuning VRAM requirements QLoRA OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |