Delete .eval_results/health-check-sakthai-embedding-multilingual-2026-07-30-2.yaml with huggingface_hub

.eval_results/health-check-sakthai-embedding-multilingual-2026-07-30-2.yaml

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-# Health Check: Nanthasit/sakthai-embedding-multilingual
-# Generated: 2026-07-30T22:47:27Z
-# Evaluator: sakthai-model-health-check cron (Hermes Agent)
-
-metadata:
-  model_id: Nanthasit/sakthai-embedding-multilingual
-  model_type: sentence-transformer
-  pipeline_tag: sentence-similarity
-  library_name: sentence-transformers
-  license: mit
-  created_at: 2026-07-25T06:55:26.000Z
-  evaluated_at: 2026-07-30T22:47:27Z
-  age_days: 5.66
-
-core_metrics:
-  downloads: 362
-  likes: 0
-  download_velocity_per_day: 64.0
-  age_days_since_creation: 5.66
-  has_weights: true
-  weight_status: PRESENT
-
-architecture:
-  model_type: bert
-  architectures:
-    - BertModel
-  hidden_size: 384
-  num_hidden_layers: 12
-  num_attention_heads: 12
-  vocab_size: 250037
-  max_position_embeddings: 512
-  intermediate_size: 1536
-  embedding_dimension: 384
-  pooling_mode: mean
-  similarity_fn: cosine
-  total_parameters: 227417856
-  parameter_dtype: float32
-
-file_inventory:
-  model_file_size_bytes: 470637416
-  total_repo_bytes: 487739842
-  weight_files:
-    - path: model.safetensors
-      size_bytes: 470637416
-      lfs_size_bytes: 470637416
-  config_files:
-    - path: 1_Pooling/config.json
-      size_bytes: 90
-    - path: config.json
-      size_bytes: 747
-    - path: config_sentence_transformers.json
-      size_bytes: 284
-    - path: modules.json
-      size_bytes: 277
-    - path: sentence_bert_config.json
-      size_bytes: 241
-  tokenizer_files:
-    - path: tokenizer.json
-      size_bytes: 17082987
-    - path: tokenizer_config.json
-      size_bytes: 588
-  other_files:
-    - path: .eval_results/health-check-sakthai-embedding-multilingual-2026-07-30.yaml
-      size_bytes: 5681
-    - path: .gitattributes
-      size_bytes: 1570
-    - path: README.md
-      size_bytes: 9961
-  total_files: 11
-
-build_toolchain:
-  sentence_transformers: 5.6.1
-  transformers: 5.14.1
-  pytorch: 2.13.0+cu130
-
-card_metadata:
-  tags:
-    - sentence-transformers
-    - embeddings
-    - sentence-similarity
-    - feature-extraction
-    - cross-lingual
-    - semantic-search
-    - retrieval
-    - rag
-    - sakthai
-    - house-of-sak
-    - beer-sakthai
-    - multilingual-embeddings
-    - bert
-    - 384-dim
-  tags_count: 14
-  datasets:
-    - Nanthasit/sakthai-combined-v6
-    - Nanthasit/sakthai-combined-v7
-    - Nanthasit/sakthai-kaggle-notebooks
-    - Nanthasit/sakthai-irrelevance-supplement
-    - Nanthasit/food-penguin-v1
-    - Nanthasit/SimpleToolCalling
-    - Nanthasit/sakthai-bench-v1
-  datasets_count: 7
-  has_model_index: False
-  benchmark_metrics: 0
-  base_model: null
-
-assessment:
-  summary: >-
-    Multilingual embedding model (5.66 days old) built with sentence-transformers
-    5.6.1 on BERT 384-dim architecture.
-    Steady download momentum at 64.0/day. No published benchmarks yet.
-  strengths:
-    - Fastest download velocity in Nanthasit ecosystem (64.0/day)
-    - Clean sentence-transformers structure with proper config files
-    - 14 relevant tags and 7 linked training datasets
-    - MIT licensed with complete tokenizer
-    - Prompt-aware architecture (query/document prompt support)
-  weaknesses:
-    - No MTEB/benchmark model-index published
-    - 0 likes (low community engagement)
-    - Only 362 total downloads (rank 6/19 of Nanthasit models)
-    - No base_model attribution
-  recommendations:
-    - Publish sentence-transformers MTEB benchmark results as model-index
-    - Add base_model to card metadata
-    - Add usage code examples to README
-    - Cross-link from context series models for discoverability
-
-health_score:
-  overall: 56
-  scale: 100
-  components:
-    popularity:
-      score: 16
-      weight: 0.20
-      details:
-        downloads: 362
-        likes: 0
-        dl_score: 23
-        likes_score: 0
-        max_sibling_downloads: 1599
-    momentum:
-      score: 100
-      weight: 0.20
-      details:
-        velocity: 64.0
-        max_sibling_velocity: 63.9
-        velocity_rank: 1
-        note: Rank 1/19 among Nanthasit models
-    benchmarks:
-      score: 0
-      weight: 0.25
-      details:
-        has_model_index: False
-        metric_count: 0
-        note: No published benchmarks. MTEB recommended for embedding models.
-    card_quality:
-      score: 90
-      weight: 0.20
-      details:
-        has_license: true
-        license: mit
-        tags_count: 14
-        datasets_count: 7
-        has_model_index: False
-        deductions:
-          - no_model_index: -10
-    repo_hygiene:
-      score: 100
-      weight: 0.15
-      details:
-        has_weights: true
-        weight_size_mb: 448.8
-        dev_artifacts: []
-        note: Clean repo, no development artifacts
-
-sibling_comparison:
-  total_author_models: 19
-  rank_by_downloads: 6
-  rank_by_velocity: 1
-  top_5_models:
-    - id: Nanthasit/sakthai-context-1.5b-merged
-      downloads: 1599
-      velocity: 0.0
-    - id: Nanthasit/sakthai-context-0.5b-merged
-      downloads: 1370
-      velocity: 0.0
-    - id: Nanthasit/sakthai-context-7b-merged
-      downloads: 744
-      velocity: 0.0
-    - id: Nanthasit/sakthai-context-7b-128k
-      downloads: 506
-      velocity: 0.0
-    - id: Nanthasit/sakthai-context-7b-tools
-      downloads: 399
-      velocity: 0.0
-  notes:
-    - Highest velocity in ecosystem (64.0/day), rank 1/19
-    - Unique dedicated embedding model in Nanthasit portfolio
-    - Context models lead absolute downloads; embedding catching up in momentum
-
-delta_vs_previous:
-  previous_eval: 2026-07-30T22:39:25Z (same day earlier)
-  downloads_delta: 0
-  likes_delta: 0
-  score_change: 0
-  note: No change observed within same calendar day. Data is stable.