model: Nanthasit/sakthai-plus-1.5b eval_date: "2026-07-30T22:12:30.601577+00:00" metadata: pipeline_tag: text-generation library_name: transformers base_model: Qwen/Qwen2.5-1.5B-Instruct license: apache-2.0 gated: false private: false created: "2026-07-30T13:02:40.000Z" last_modified: "2026-07-30T22:06:30.000Z" days_since_creation: 0 days_since_update: 0 popularity: downloads: 0 likes: 0 siblings_count: 19 download_velocity: total_downloads: 0 age_days: 0.38 downloads_per_day: 0.0 rank_among_siblings: New - insufficient data model_files: - path: model.safetensors size_bytes: 3087467144 size_display: "2.88 GB" format: safetensors (BF16) total_repo_storage_bytes: 3098933908 total_repo_storage_display: "2.89 GB" architecture: model_type: qwen2 architecture: Qwen2ForCausalLM context_length: 32768 hidden_size: 1536 num_layers: 28 num_attention_heads: 12 num_kv_heads: 2 intermediate_size: 8960 parameters: 1.54B dtype: bfloat16 vocab_size: 151936 benchmarks: - benchmark: "SakThai Bench v2 (500 rows, scorer multiset-selection-v2)" dataset: Nanthasit/sakthai-bench-v2 metrics: Selection Accuracy: pending Degenerate Rate: 0 verified: false tags: - qwen2.5 - sakthai - plus - tool-calling - conversational - function-calling - merged - rslor - house-of-sak - family datasets: - Nanthasit/sakthai-combined-v7 - Nanthasit/sakthai-combined-v8 card_content: readme_size_bytes: 6249 has_license: true has_base_model: true has_tags: true has_datasets: true has_widget: true health_score: components: popularity: 20 momentum: 20 benchmarks: 50 card_quality: 100 repo_hygiene: 85 adjustments: - type: base_model_deduction value: -20 reason: "Fine-tune of Qwen/Qwen2.5-1.5B-Instruct" - type: pending_benchmarks value: -10 reason: "Benchmark values are pending verification" raw_score: 53.2 adjusted_score: 23.2 assessment: health: LOW summary: "Model needs substantial improvement in adoption and benchmarks." concerns: - "Zero downloads - model is brand new, needs promotion" - "Benchmark values are 'pending' - need to run verification" recommendations: - "Share model link in SakThai channels to drive initial adoption" - "Run LightEval or HF Community Evals to fill in benchmark values"