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