C-Tianyu/NanoJev
AI model by C-Tianyu
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
One 0.6B model returns action distributions for Maze, Snake, ViZDoom Basic and Predict Position. This public release contains the current unified step-400 model, its exact training initialization and the full inference source. Jev inspired the state, question and candidate-set interface. Each candidate is encoded with its state and question. A shared Qwen3-0.6B backbone, end-of-sequence representations and an attention-based Choice head score the offered set. Softmax returns all candidate probabilities together, without output-token decoding. Boolean and ordered-score request types remain available through the same structured interface. All systems share the recorded structured observation interface, frozen cases, controller epsilon 0.1 and sampling seed 17. Full test and OOD reports, source trajectories and independent replay checks are in the linked dataset. The hard 50x50 Maze and 12x12 Snake demonstrations are a separately recorded showcase using common code planners: current NanoJev reaches the maze goal in 225 attempts and collects 30 food items while…
Read the full model card ↗ · Preview checked 2026-09-21T09:33:43.128Z
Inside the original model card — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
C-Tianyu/NanoJev is a task-unspecified model repository published by C-Tianyu on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- pytorch
- Recent downloads (30 days)
- 1,267
- Cumulative likes
- 65
- Hugging Face trending score
- 62
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-09-17T16:43:26.000Z
- Last modified
- 2026-09-20T10:19:01.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3-0.6B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:47.722Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.