Clashbot d1-ft-joint-tac decision model
Clashbot d1 selects among up to 4 candidate plays from text game states. Read its course-project scope, held-out play-choice results and licence.
By Jyler · Hugging Face weight package release: 9 Nov 2026
A fine-tune of Liquid AI’s d1-omni-600M for a Clash Royale course project. It reads a text game state and up to four candidate plays, including tactical notes, retrieval and knowledge-graph context. The package selects a play; the surrounding agent uses iPhone Mirroring on a Mac. Intended for research and the course demo in Training Camp or friendly battles.
Quick answers
What is Clashbot d1-ft-joint-tac by Jyler?
Clashbot d1-ft-joint-tac: A fine-tune of Liquid AI’s d1-omni-600M for a Clash Royale course project.
Who makes Clashbot d1-ft-joint-tac?
Facts
- Base
- LiquidAI/d1-omni-600M; 587,161,089 stored parameters
- Inputs
- Text game descriptions and up to 4 candidate plays
- Training
- 3,641 four-option questions from 197 recorded professional games; splits by video
- Access
- FP16 weights and bundled custom loader; CPU loading uses FP32
- Licence
- LFM Open License v1.0; file included
Claims and sources
- The maker reports four-way accuracy 0.507 on 766 test lines from 27 held-out games, against chance 0.25 and a placement prior 0.384. The reported 95% interval is 0.473 to 0.540. FP16 and FP32 choose the same option on 100 check lines. These are offline play-choice results, not a measured live-game win rate. vendor reportedsource
Links
Source: Card, weights and code → Source: Licence →
Related projects
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