khoilamalphaai

chess-coach-32b-v6-distill

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README

License: apache-2.0

Model family and roles

chess-coach-32b-v4-qlora: the SFT base, the full-reproducible-eval reference, and the fallback endpoint.
chess-coach-32b-v6-dpo2: the live-served coach on the demo (Modal chess-coach-v6dpo2-4bit-maia, tuned:true), the best-DPO refinement of the v4 SFT base.
chess-coach-32b-v6-dpo: the earlier DPO adapter, superseded by v6-dpo2.
chess-coach-32b-v6-distill: the behavior-in-weights research adapter, evaluated with no grounding (0.325 tier-policy match).

What it is

Base: unsloth/Qwen3-32B-unsloth-bnb-4bit (the same 4-bit base as v4).
Objective: SFT on the no-grounding move-review format, with targets drawn from the deep-verified engine-best and canonical tier moves in chess-coach-v6. The goal is to test whether the tier policy can be recovered from the weights alone when the engine and human-move grounding are removed from the prompt.

Honest result (corrected v6 benchmark, 120 held-out TEST, no grounding)

Re-scored in one controlled session against the deep-verified v6 labels, same strict extractor as the shipped v4 eval (RESULTS_STAGE4_CORRECTED.md). Both rows are scored WITHOUT grounding:

Table with columns: Model (no grounding), tier-policy match, names-a-move, move-sound, distinct
Model (no grounding)	tier-policy match	names-a-move	move-sound	distinct
Qwen3-32B base (untuned)	0.022	0.250	0.081	0.040
v6-distill (this)	0.325	0.983	0.653	0.461

Stripped of grounding the untuned base essentially cannot coach: it names a move only 25% of the time and fabricates illegal or unsound moves without a sound list. The distilled adapter recovers the tier rule from its weights: tier-policy match 0.325 (+0.303, about 15x), names-a-move 0.983, move-soundness 0.653, distinct 0.461.

Honest limits

Advanced-tier limit: per-tier tier-policy match is beginner 0.358, intermediate 0.400, advanced 0.217. The advanced target is the engine-best move, and reproducing it from the weights alone, without the engine grounding the condition removes, is genuinely the hardest, so advanced is the weakest tier.
Grounding-free soundness (0.653) trails the deployable grounded soundness (about 0.98). This is a behavior-in-weights proof, not a claim that grounding is unnecessary in production.
Tier-policy match is agreement with the project's select_tier_move rule, a learnability metric, not certified best teaching.

Use

Load the base 4-bit model and apply this adapter with PEFT (the tokenizer is the base Qwen3 tokenizer). Unlike the shipped grounded coach, this adapter is evaluated with the no-grounding prompt format described above.

Links

Table with columns: Resource, Link
Resource	Link
Shipped model (v4)	chess-coach-32b-v4-qlora
Training dataset	chess-coach-v6
Demo	chess-coach-studio
Code / GitHub repo	Alpha-AI-Engineering-Khoi/chess-instructor-llm

License Apache-2.0, inherited from Qwen3-32B. The training data is CC-BY-NC-4.0.

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Model Details

Model Provider

khoilamalphaai

Model Tree

Base

unsloth/Qwen3-32B-unsloth-bnb-4bit

Adapter

this model

Input Modalities

Text

Output Modalities