Kanha-AI/kanha-kanha.ai-1.7b-pit-quality-v1

Kanha Qwen3 PIT checkpoint

Run identity

• —Run ID: kanha.ai-1.7b-pit-quality-v1
• —Base model: Qwen/Qwen3-1.7B
• —Base model revision: 70d244cc86ccca08cf5af4e1e306ecf908b1ad5e
• —Tokenizer revision: 70d244cc86ccca08cf5af4e1e306ecf908b1ad5e
• —Training method: PIT document continuation plus Q&A
• —Final merged dtype: bfloat16
• —Source site: https://kanha.ai
• —Training identity hash: 16baaea4d1c5a89dce8f3cdb27922bd9dbe51a1891b1b8bf5d90a3364406a7f7
• —Train documents: 17
• —Evaluation documents: 0
• —Train Q&A pairs: 170
• —Evaluation Q&A pairs: 0

Hyperparameters

• —Max length: 2048
• —Epochs: 20.0
• —Learning rate: 1e-05
• —Batch size: 8
• —Grad accum: 2
• —Seed: 42
• —System prompt: "You are a helpful assistant. Answer the user's question accurately and concisely."
• —Weight decay: 0.1
• —Adam beta1: 0.9
• —Adam beta2: 0.95
• —Adam epsilon: 1e-08
• —Warmup steps: 0
• —Max grad norm: 1.0
• —Bf16: true
• —Tf32: true
• —Gradient checkpointing: true
• —Learning rate schedule: "cosine_with_0.1_minimum"
• —Optimizer: "adamw_torch"
• —Logging steps: 1
• —Save strategy: "epoch"
• —Save total limit: 3
• —Data seed: 42
• —Report to: "none"
• —Remove unused columns: false

Evaluation

• —dates_recall: 1.0
• —deterministicpassrate: 0.0
• —list_recall: 0.07884615384615384
• —numbers_recall: 0.7307692307692307
• —refusal_rate: 0.0
• —total: 26
• —unsupportedvaluerate: 0.6538461538461539
• —urls_recall: 1.0

The external evaluation suite qualifies server-side behavior only. The exact converted artifact still requires browser and target-device validation.

MLC availability

No validated MLC artifact is included in this publication.

Limitations

The checkpoint can produce incorrect, incomplete, stale, or memorized content. The private training corpus is website-specific, and evaluation results do not establish general capability or production safety.

Provenance artifacts

• —research/run-manifest.json
• —research/training-config.json
• —research/publication-inventory.json
• —research/evaluation/metrics.json
• —research/evaluation/evaluation-manifest.json