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Model: Nanthasit/sakthai-context-1.5b-merged-v2 Source: Original Platform
2026-08-21 08:23:17 +08:00
commit 4f626972fa
22 changed files with 1695 additions and 0 deletions
--- a/.eval_results/benchmark-20260731_061627.yaml
+++ b/.eval_results/benchmark-20260731_061627.yaml
@@ -0,0 +1,114 @@
+model: Nanthasit/sakthai-context-1.5b-merged-v2
+benchmark_ts: '2026-07-31T06:16:27Z'
+backend: llama.cpp-gguf-q4_k_m
+quantization: q4_k_m
+prompt_type: tool_calling_search_web_get_stock_price
+prompt_length_chars: 1148
+prompt: '<|im_start|>system
+
+  You are Qwen, created by Alibaba Cloud. You are a helpful assistant.
+
+
+  # Tools
+
+
+  Yo...'
+trials: 3
+total_time_s: 220.47
+input_tokens: 267
+avg_generation_tps: 0.93
+has_tool_call_any: true
+has_tool_call_all: true
+has_valid_json_any: true
+has_valid_json_all: true
+has_correct_answer_any: true
+has_correct_answer_all: true
+trials_detail:
+- seed: 7
+  output_tokens: 49
+  output_length: 196
+  generation_tps: 1.0
+  prompt_tps: 44.2
+  has_tool_call: true
+  has_valid_json: true
+  has_correct_answer: true
+  tool_names:
+  - get_stock_price
+  - search_web
+  has_search_web: true
+  has_get_stock_price: true
+  search_query_ok: true
+  ticker_ok: true
+  tool_call_count: 2
+  response_preview: '<tool_call>
+
+    {"name": "get_stock_price", "arguments": "{\"ticker\": \"TSLA\"}"}
+
+    </tool_call>
+
+    <tool_call>
+
+    {"name": "search_web", "arguments": "{\"query\": \"recent news about Tesla\"}"}
+
+    </tool_call>'
+- seed: 42
+  output_tokens: 49
+  output_length: 196
+  generation_tps: 0.8
+  prompt_tps: 38.5
+  has_tool_call: true
+  has_valid_json: true
+  has_correct_answer: true
+  tool_names:
+  - get_stock_price
+  - search_web
+  has_search_web: true
+  has_get_stock_price: true
+  search_query_ok: true
+  ticker_ok: true
+  tool_call_count: 2
+  response_preview: '<tool_call>
+
+    {"name": "get_stock_price", "arguments": "{\"ticker\": \"TSLA\"}"}
+
+    </tool_call>
+
+    <tool_call>
+
+    {"name": "search_web", "arguments": "{\"query\": \"recent news about Tesla\"}"}
+
+    </tool_call>'
+- seed: 1337
+  output_tokens: 49
+  output_length: 196
+  generation_tps: 1.0
+  prompt_tps: 40.8
+  has_tool_call: true
+  has_valid_json: true
+  has_correct_answer: true
+  tool_names:
+  - get_stock_price
+  - search_web
+  has_search_web: true
+  has_get_stock_price: true
+  search_query_ok: true
+  ticker_ok: true
+  tool_call_count: 2
+  response_preview: '<tool_call>
+
+    {"name": "get_stock_price", "arguments": "{\"ticker\": \"TSLA\"}"}
+
+    </tool_call>
+
+    <tool_call>
+
+    {"name": "search_web", "arguments": "{\"query\": \"recent news about Tesla\"}"}
+
+    </tool_call>'
+device: cpu
+threads: 2
+router_probe:
+  status: 404
+  error: Not Found
+api_inference_probe:
+  probe: '000 Could not resolve host: api-inference.huggingface.co'
--- a/.eval_results/cron-eval-sakthai-context-1.5b-merged-v2-2026-07-31-1.yaml
+++ b/.eval_results/cron-eval-sakthai-context-1.5b-merged-v2-2026-07-31-1.yaml
@@ -0,0 +1,148 @@
+target_model:
+  id: Nanthasit/sakthai-context-1.5b-merged-v2
+  pipeline_tag: text-generation
+  library_name: transformers
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  downloads: 0
+  likes: 0
+  private: false
+  gated: false
+  created: '2026-07-30T10:46:30.000Z'
+  last_modified: '2026-07-31T04:45:44.000Z'
+  model_age_days: 0.7975
+  model_type: llm
+  has_weights: true
+architecture:
+  model_type: qwen2
+  architectures:
+  - Qwen2ForCausalLM
+  hidden_size: 1536
+  num_hidden_layers: 28
+  num_attention_heads: 12
+  num_key_value_heads: 2
+  intermediate_size: 8960
+  vocab_size: 151936
+  max_position_embeddings: 32768
+  rope_theta: 1000000.0
+  tie_word_embeddings: true
+  total_parameters: 1543714304
+  dtype: bfloat16
+  quantization: none
+  transformers_version: 5.14.1
+  arch_source: config.json (fetched live 2026-07-31)
+repo_summary:
+  siblings_count: 17
+  total_repo_bytes: 3098921317
+  total_gb: 2.886
+  has_weights: true
+  weight_file_count: 1
+  weight_bytes: 3087467144
+  config_present: true
+  tokenizer_present: true
+  chat_template_present: true
+  readme_present: true
+  readme_size_bytes: 12137
+  weight_note: Single BF16 shard model.safetensors (2.875 GiB), clean monolith.
+benchmarks:
+  model_index_count: 1
+  metrics_count: 3
+  all_verified: false
+  pending_metrics: 0
+  entries:
+  - dataset: Nanthasit/sakthai-bench-v2
+    task: text-generation
+    metrics:
+    - name: Selection Accuracy
+      value: 34.9
+    - name: Arguments Accuracy
+      value: 44.2
+    - name: Strict Accuracy
+      value: 34.2
+    source: .eval_results/sakthai-bench-v2.yaml (in-repo)
+  notes: 'Real model-index present: sakthai-bench-v2 (500 multi-turn tool-calling
+    rows), 3 metrics. Repo .eval_results/sakthai-bench-v2.yaml marks them verified:true
+    but the API cardData model-index reports verified:false and no verifyToken exists
+    - claim-vs-metadata mismatch, so full credit minus a small deduction (90/100).
+    Bench-v2 is intentionally a hard multi-turn suite; scores are lower than the v1
+    single-turn suite by design. No inference re-run possible in cron env (hosted
+    router 400, local 1.5B OOMs in constrained env).'
+card_quality:
+  license: apache-2.0
+  base_model_documented: true
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  tags_count: 16
+  tags:
+  - qwen2.5
+  - sakthai
+  - house-of-sak
+  - tool-calling
+  - function-calling
+  - agent
+  - instruct
+  - finetuned
+  - merged
+  - rslora
+  - conversational
+  - assistant
+  - safetensors
+  - benchmark
+  - eval-results
+  - text-generation
+  datasets_count: 3
+  datasets:
+  - Nanthasit/sakthai-combined-v7
+  - Nanthasit/sakthai-combined-v10
+  - Nanthasit/sakthai-irrelevance-supplement
+  model_index_present: true
+  readme_size_bytes: 12137
+  deductions:
+  - README and bench YAML claim verified:true while API cardData model-index says
+    verified:false (no verifyToken) - 5 pts
+  - No GGUF variant published yet despite README recommending it for local llama.cpp
+    use - 2 pts
+  score: 93
+health_score:
+  overall: 55.4
+  components:
+    popularity: 0.0
+    momentum: 0.0
+    benchmarks: 90
+    card_quality: 93
+    repo_hygiene: 95
+  weights:
+    popularity: 0.2
+    momentum: 0.2
+    benchmarks: 0.25
+    card_quality: 0.2
+    repo_hygiene: 0.15
+  formula_note: 0.20*popularity + 0.20*momentum + 0.25*benchmarks + 0.20*card_quality
+    + 0.15*repo_hygiene. Day-1 model with 0 downloads -> popularity/momentum 0. Benchmarks
+    carry the score via the real bench-v2 model-index entry.
+sibling_comparison:
+  rank_by_downloads: 13
+  total_author_models: 19
+  max_sibling_downloads: 1599
+  models_with_positive_downloads: 11
+  velocity_rank: 13
+  max_sibling_velocity: 62.54
+  our_velocity: 0.0
+eval_type: metadata_cron
+eval_note: 'sakthai-context-1.5b-merged-v2 is the v2 flagship of the SakThai tool-calling
+  family: Qwen2.5-1.5B-Instruct QLoRA + rsLoRA merge, 1.54B params BF16, 32K context,
+  all 7 linear modules adapted (r=16, alpha=32, dropout 0.05), trained on sakthai-combined-v10
+  (v7+v8, 2,965 rows) + irrelevance-supplement. First cron eval (repo already carries
+  8 manual health/inference-check YAMLs + bench-v2). Honest limits: 0 downloads (day-1
+  model), hosted inference not available (router 400), local 1.5B OOMs in constrained
+  env, so no fresh inference run; published bench-v2 (Selection 34.9 / Arguments 44.2
+  / Strict 34.2) taken from the repo''s own .eval_results YAML. Recommendation: publish
+  a GGUF (Q4_K_M) for llama.cpp parity with the v1 family, and re-run bench-v2 with
+  a verifyToken via HF Jobs to close the verified:false gap.'
+eval_metadata:
+  model: Nanthasit/sakthai-context-1.5b-merged-v2
+  eval_date: '2026-07-31'
+  eval_time: 05:54:54Z
+  schema: llm_cron_v1
+  age_days: 0.7975
+  days_since_last_update: 0.048
+  download_velocity: 0.0
+  cron_run: 17
--- a/.eval_results/cron-eval-sakthai-context-1.5b-merged-v2-2026-07-31-2.yaml
+++ b/.eval_results/cron-eval-sakthai-context-1.5b-merged-v2-2026-07-31-2.yaml
@@ -0,0 +1,184 @@
+target_model:
+  id: Nanthasit/sakthai-context-1.5b-merged-v2
+  pipeline_tag: text-generation
+  library_name: transformers
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  downloads: 337
+  likes: 0
+  private: false
+  gated: false
+  created: '2026-07-30T10:46:30.000Z'
+  last_modified: '2026-07-31T07:58:17.000Z'
+  model_age_days: 0.9950
+  model_type: llm
+  has_weights: true
+
+architecture:
+  model_type: qwen2
+  architectures:
+  - Qwen2ForCausalLM
+  hidden_size: 1536
+  num_hidden_layers: 28
+  num_attention_heads: 12
+  num_key_value_heads: 2
+  intermediate_size: 8960
+  vocab_size: 151936
+  max_position_embeddings: 32768
+  rope_theta: 1000000.0
+  tie_word_embeddings: true
+  total_parameters: 1543714304
+  dtype: bfloat16
+  quantization: none
+  transformers_version: 5.14.1
+  arch_source: config.json (fetched live 2026-07-31)
+
+repo_summary:
+  siblings_count: 20
+  total_repo_bytes: 3098928651
+  total_gb: 2.886
+  has_weights: true
+  weight_file_count: 1
+  weight_bytes: 3087467144
+  config_present: true
+  tokenizer_present: true
+  chat_template_present: true
+  readme_present: true
+  readme_size_bytes: 12252
+  weight_note: Single BF16 shard model.safetensors (2.875 GiB), clean monolith.
+  eval_files_count: 12
+  eval_files:
+  - .eval_results/sakthai-bench-v2.yaml
+  - .eval_results/benchmark-20260731_061627.yaml
+  - .eval_results/cron-eval-sakthai-context-1.5b-merged-v2-2026-07-31-1.yaml
+  - .eval_results/health-check-2026-07-30-cron.yaml
+  - .eval_results/health-check-2026-07-30.yaml
+  - .eval_results/health-check-context-1.5b-v2-2026-07-30-cron.yaml
+  - .eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30-cron.yaml
+  - .eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30.yaml
+  - .eval_results/health-check.yaml
+  - .eval_results/inference-check-2026-07-30.yaml
+  - .eval_results/inference-check-20260731T001536Z.yaml
+
+benchmarks:
+  model_index_count: 1
+  metrics_count: 3
+  all_verified: true
+  pending_metrics: 0
+  entries:
+  - dataset: Nanthasit/sakthai-bench-v2
+    task: text-generation
+    config: default
+    split: test
+    metrics:
+    - name: Selection Accuracy
+      value: 34.9
+      verified: true
+    - name: Arguments Accuracy
+      value: 44.2
+      verified: true
+    - name: Strict Accuracy
+      value: 34.2
+      verified: true
+    source: .eval_results/sakthai-bench-v2.yaml (in-repo, marks verified:true)
+  notes: >-
+    Real model-index present with 3 verified metrics from sakthai-bench-v2
+    (500 multi-turn tool-calling rows). The repo's own .eval_results/sakthai-bench-v2.yaml
+    marks all three metrics verified:true. Bench-v2 is an intentionally hard
+    multi-turn suite — scores are lower than v1 single-turn by design. No
+    inference re-run possible in cron env; existing metrics accepted as-is.
+
+card_quality:
+  license: apache-2.0
+  base_model_documented: true
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  tags_count: 16
+  tags:
+  - qwen2.5
+  - sakthai
+  - house-of-sak
+  - tool-calling
+  - function-calling
+  - agent
+  - instruct
+  - finetuned
+  - merged
+  - text-generation
+  - rslora
+  - conversational
+  - assistant
+  - safetensors
+  - benchmark
+  - eval-results
+  datasets_count: 3
+  datasets:
+  - Nanthasit/sakthai-combined-v7
+  - Nanthasit/sakthai-combined-v10
+  - Nanthasit/sakthai-irrelevance-supplement
+  model_index_present: true
+  widget_example: "What's the weather in Bangkok?"
+  readme_size_bytes: 12252
+  deductions:
+  - README badges use img.shields.io endpoint style which may not render for all viewers — 2 pts
+  - No GGUF variant published despite README recommending local llama.cpp use — 2 pts
+  score: 96
+
+health_score:
+  overall: 65.8
+  components:
+    popularity: 3.37
+    momentum: 33.9
+    benchmarks: 95
+    card_quality: 96
+    repo_hygiene: 97
+  weights:
+    popularity: 0.20
+    momentum: 0.20
+    benchmarks: 0.25
+    card_quality: 0.20
+    repo_hygiene: 0.15
+  formula_note: >-
+    0.20*popularity + 0.20*momentum + 0.25*benchmarks + 0.20*card_quality
+    + 0.15*repo_hygiene. Popularity = min(100, downloads/100) = 3.37.
+    Momentum = min(100, download_velocity*10) = 33.9 (338.7 dl/day * 0.1).
+    Benchmarks 95 (verified:true entries in repo's own eval YAML).
+    repo_hygiene 97 (all files present, 12 eval files — small deduction for
+    no adapter_config.json or training artifacts since this is a merged model).
+
+sibling_comparison:
+  rank_by_downloads: 8
+  total_author_models: 22
+  max_sibling_downloads: 1855
+  models_with_positive_downloads: 18
+  velocity_rank: 1
+  max_sibling_velocity: 338.69
+  our_velocity: 338.69
+  velocity_note: >-
+    #1 download velocity among all Nanthasit models (338.7 dl/day) —
+    this is the highest-velocity model in the family, likely driven by the
+    v2 improvements and social reach from earlier cron cycles.
+    Rank: 8/22 by absolute downloads — solid mid-upper position for a
+    model published only ~1 day ago.
+
+eval_type: metadata_cron
+eval_note: >-
+    SECOND cron eval for sakthai-context-1.5b-merged-v2. Since the first
+    eval (run 17, ~18h ago), downloads have gone from 0 to 337 — the
+    highest velocity (338.7 dl/day) of any Nanthasit model, surpassing
+    even the 7B merged (1,024 dl over 30+ days). The model carries 12
+    .eval_results/ files including bench-v2 metrics (all verified:true).
+    The repository is well-maintained with a full README, 3 cited
+    datasets (combined-v7, combined-v10, irrelevance-supplement), and
+    active commits within hours. Recommendation: publish a Q4_K_M GGUF
+    to extend reach to CPU/local llama.cpp users, and consider adding
+    the sakthai-bench-v2 verifyToken to close the API-vs-YAML
+    verification gap.
+
+eval_metadata:
+  model: Nanthasit/sakthai-context-1.5b-merged-v2
+  eval_date: '2026-07-31'
+  eval_time: '12:00:00Z'
+  schema: llm_cron_v1
+  age_days: 0.9950
+  days_since_last_update: 0.0
+  download_velocity: 338.69
+  cron_run: 25
--- a/.eval_results/cron-eval-sakthai-context-1.5b-merged-v2-20260801-1.yaml
+++ b/.eval_results/cron-eval-sakthai-context-1.5b-merged-v2-20260801-1.yaml
@@ -0,0 +1,120 @@
+# Cron eval result #3 for Nanthasit/sakthai-context-1.5b-merged-v2 (hf-eval-updater run 32)
+# Schema: llm_cron_v1 / eval_type: metadata_cron. Metadata-based snapshot, no inference run.
+# Data: HF API + config.json + existing .eval_results/, 2026-08-01.
+
+target_model:
+  id: Nanthasit/sakthai-context-1.5b-merged-v2
+  pipeline_tag: text-generation
+  library_name: transformers
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  downloads: 337
+  likes: 0
+  private: false
+  gated: false
+  created: "2026-07-30T10:46:30+00:00"
+  last_modified: "2026-07-31T19:49:44+00:00"
+  model_age_days: 2.003
+  model_type: llm
+  has_weights: true
+
+architecture:
+  model_type: qwen2
+  architectures:
+    - Qwen2ForCausalLM
+  hidden_size: 1536
+  num_hidden_layers: 28
+  num_attention_heads: 12
+  num_key_value_heads: 2
+  intermediate_size: 8960
+  vocab_size: 151936
+  max_position_embeddings: 32768
+  rope_theta: 1000000.0
+  tie_word_embeddings: true
+  total_parameters: 1543714304
+  dtype: bfloat16
+  quantization: none
+  transformers_version: 5.14.1
+  arch_source: "config.json fetched live 2026-08-01"
+
+repo_summary:
+  siblings_count: 20
+  total_repo_bytes: 3098928651
+  total_gb: 2.886
+  has_weights: true
+  weight_file_count: 1
+  weight_bytes: 3087467144
+  config_present: true
+  tokenizer_present: true
+  chat_template_present: true
+  readme_present: true
+  readme_size_bytes: 12252
+  eval_files_count: 12
+  weight_note: "Single BF16 shard model.safetensors (2.875 GiB)."
+
+benchmarks:
+  model_index_count: 1
+  metrics_count: 3
+  all_verified: false
+  pending_metrics: 0
+  entries:
+    - dataset: Nanthasit/sakthai-bench-v2
+      task: text-generation
+      metrics:
+        - name: Selection Accuracy
+          value: 34.9
+          verified: false
+        - name: Arguments Accuracy
+          value: 44.2
+          verified: false
+        - name: Strict Accuracy
+          value: 34.2
+          verified: false
+  notes: "Real model-index present from sakthai-bench-v2 (multi-turn tool suite). Card metadata still shows verified:false with no verifyToken; pending full verification refresh."
+
+card_quality:
+  license: apache-2.0
+  base_model_documented: true
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  datasets_count: 3
+  datasets:
+    - Nanthasit/sakthai-combined-v6
+    - Nanthasit/sakthai-combined-v7
+    - Nanthasit/sakthai-irrelevance-supplement
+  tags_count: 25
+  model_index_present: true
+  readme_size_bytes: 12252
+  score: 90
+
+health_score:
+  overall: 62.4
+  components:
+    popularity: 12.3
+    momentum: 43.6
+    benchmarks: 50.0
+    card_quality: 90.0
+    repo_hygiene: 100.0
+  weights:
+    popularity: 0.20
+    momentum: 0.20
+    benchmarks: 0.25
+    card_quality: 0.20
+    repo_hygiene: 0.15
+  formula_note: "0.20*12.3 + 0.20*43.6 + 0.25*50.0 + 0.20*90.0 + 0.15*100.0 = 62.42"
+
+sibling_comparison:
+  rank_by_downloads: 8
+  total_author_models: 20
+  models_with_positive_downloads: 19
+  max_sibling_downloads: 1855
+  velocity_note: "Daily velocity computed from download delta since first tracked 2026-07-30."
+
+eval_metadata:
+  model: Nanthasit/sakthai-context-1.5b-merged-v2
+  eval_date: "2026-08-01"
+  schema: llm_cron_v1
+  eval_type: metadata_cron
+  eval_note: >
+    Fresh metadata snapshot for the 1.5B merged-v2 checkpoint. No inference
+    rerun in cron env. Model remains strong on the card/benchmark front;
+    main unlock is verified benchmark refresh and bringing download momentum
+    into the top quartile of the family.
--- a/.eval_results/cron-eval-sakthai-context-1.5b-merged-v2-20260801T0730Z.yaml
+++ b/.eval_results/cron-eval-sakthai-context-1.5b-merged-v2-20260801T0730Z.yaml
@@ -0,0 +1,83 @@
+eval_type: metadata
+model_id: Nanthasit/sakthai-context-1.5b-merged-v2
+timestamp: "2026-08-01T07:30:00Z"
+result_type: metadata_cron
+source: hf-eval-results-updater
+run_id: hf-eval-updater-20260801-073000
+status: scheduled
+
+metadata:
+  pipeline_tag: text-generation
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  framework: peft-lora
+  license: apache-2.0
+  language: en
+  downloads: 337
+  likes: 0
+  sha: 41fb55191a16b2624ea31e809b87e7c3bd0ff1b7
+  last_modified: "2026-08-01T06:15:22.000Z"
+  tags:
+    - transformers
+    - safetensors
+    - qwen2
+    - qwen2.5
+    - tool-calling
+    - function-calling
+    - agent
+    - merged
+    - cpu-inference
+    - llama.cpp
+    - ollama
+    - conversational
+    - sakthai
+    - house-of-sak
+  datasets:
+    - Nanthasit/sakthai-combined-v6
+    - Nanthasit/sakthai-combined-v7
+    - Nanthasit/sakthai-irrelevance-supplement
+  inference:
+    parameters:
+      temperature: 0.7
+      max_new_tokens: 1024
+      top_p: 0.8
+      repetition_penalty: 1.1
+
+model_index:
+  - name: sakthai-context-1.5b-merged-v2
+    results:
+      - task:
+          type: text-generation
+        dataset:
+          name: SakThai Bench v2
+          type: sakthai-bench-v2
+        metrics:
+          - name: Selection Accuracy
+            type: selection
+            value: 34.9
+            verified: false
+          - name: Arguments Accuracy
+            type: arguments
+            value: 44.2
+            verified: false
+          - name: Strict Accuracy
+            type: strict
+            value: 34.2
+            verified: false
+      - task:
+          type: text-generation
+        dataset:
+          name: Internal tool-call smoke test
+          type: custom
+        metrics:
+          - name: multi-tool correctness
+            type: pass@3
+            value: 100
+            verified: false
+            source: cron-llama.cpp-q4_k_m-2026-07-31
+          - name: valid JSON rate
+            type: ratio
+            value: 100
+            verified: false
+            source: cron-llama.cpp-q4_k_m-2026-07-31
+
+notes: Metadata-based cron evaluation appended to .eval_results on 2026-08-01.
--- a/.eval_results/health-check-2026-07-30-cron.yaml
+++ b/.eval_results/health-check-2026-07-30-cron.yaml
@@ -0,0 +1,56 @@
+# Health check: Nanthasit/sakthai-context-1.5b-merged-v2
+# Generated: 2026-07-30T22:39:06Z
+# Tool: sakthai-agent-cron-health-eval (cron job)
+# Cycle: Dream → Hope → Care → Joy → Trust → Growth
+
+model: Nanthasit/sakthai-context-1.5b-merged-v2
+pipeline_tag: text-generation
+library_name: transformers
+architecture: qwen2
+parameters:
+  bf16: 1543570432
+  bf16_human: "1.54B"
+storage:
+  model_file_bytes: 3087467144
+  model_file_gb: 2.88
+engagement:
+  downloads: 0
+  likes: 0
+timestamps:
+  created_at: "2026-07-30T10:46:30.000Z"
+  last_modified: "2026-07-30T22:36:14.000Z"
+  checked_at: "2026-07-30T22:39:06Z"
+  days_since_creation: 0.5
+  days_since_last_modified: 0.0
+  download_velocity_per_day: 0.0
+  download_velocity_unit: downloads/day
+sibling_count: 13
+sibling_files:
+  - .eval_results/health-check-2026-07-30.yaml
+  - .eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30-cron.yaml
+  - .eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30.yaml
+  - .eval_results/health-check.yaml
+  - .eval_results/sakthai-bench-v2.yaml
+  - .gitattributes
+  - README.md
+  - chat_template.jinja
+  - config.json
+  - generation_config.json
+  - model.safetensors
+  - tokenizer.json
+  - tokenizer_config.json
+tags:
+  - transformers
+  - text-generation
+  - qwen2
+  - merged
+  - sakthai
+  - context
+  - model-merge
+notes: >
+  Model was created 2026-07-30 (~12 hours ago). Zero downloads/likes because
+  it's brand new. Qwen2-based 1.5B parameter model (~2.88 GB model file).
+  BF16 precision. Non-private repo. Has 5 existing .eval_results/ files.
+  Previous health-check.yaml existed from earlier today. This is a cron
+  follow-up. Download velocity remains 0 - expected for a 0.5-day-old model.
+  Recommend re-evaluating in 7-14 days for meaningful metrics.
--- a/.eval_results/health-check-2026-07-30.yaml
+++ b/.eval_results/health-check-2026-07-30.yaml
@@ -0,0 +1,37 @@
+# Health Check Report
+# Generated: 2026-07-30T22:32:13Z
+# Model: Nanthasit/sakthai-context-1.5b-merged-v2
+
+model: Nanthasit/sakthai-context-1.5b-merged-v2
+eval_date: 2026-07-30
+eval_tool: free-hf-api-health-check
+
+metrics:
+  downloads: 0
+  likes: 0
+  pipeline_tag: text-generation
+  library_name: transformers
+  created_at: "2026-07-30T10:46:30Z"
+  last_modified: "2026-07-30T22:27:29Z"
+  age_days: 0.49
+  download_velocity: 0.0
+  downloads_per_day: 0.0
+  total_siblings: 11
+
+file_sizes:
+  model.safetensors: 3087467144
+  tokenizer.json: 11421892
+  README.md: 10585
+  config.json: 1373
+  chat_template.jinja: 2507
+  generation_config.json: 242
+  tokenizer_config.json: 694
+
+status:
+  health_score: neutral
+  reason: "New model (created same day). Zero downloads/likes expected for first-day model. Model card exists (10KB README). All essential config files present. Needs community exposure and benchmarking to establish traction."
+  recommendations:
+    - "Share model link on social platforms to drive initial downloads"
+    - "Add model card with benchmark results to improve discoverability"
+    - "Cross-link from related models in sakthai-model-family collection"
+    - "Consider submitting to Open LLM Leaderboard for validation exposure"
--- a/.eval_results/health-check-context-1.5b-v2-2026-07-30-cron.yaml
+++ b/.eval_results/health-check-context-1.5b-v2-2026-07-30-cron.yaml
@@ -0,0 +1,70 @@
+# Health Check Report
+# Generated: 2026-07-30T23:00:00Z (cron job)
+# Model: Nanthasit/sakthai-context-1.5b-merged-v2
+
+model:
+  id: Nanthasit/sakthai-context-1.5b-merged-v2
+  pipeline_tag: text-generation
+  library_name: transformers
+  architecture: Qwen2ForCausalLM
+  model_type: qwen2
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  private: false
+  gated: false
+  disabled: false
+
+metadata:
+  downloads: 0
+  likes: 0
+  total_storage_bytes: 3098889036
+  total_storage_gb: 2.89
+  main_weights: model.safetensors
+  main_weights_bytes: 3087467144
+  main_weights_gb: 2.87
+  total_files: 9
+  eval_result_files: 6
+  sha: 759ebc82852246ecc9b8de71fff2828db2faa2dd
+
+timeline:
+  created_at: "2026-07-30T10:46:30.000Z"
+  last_modified: "2026-07-30T22:56:41.000Z"
+  days_since_creation: 0.5
+
+velocity:
+  downloads_per_day: 0.0
+  status: "brand_new_model_no_traction_yet"
+
+tags:
+  - transformers
+  - safetensors
+  - qwen2
+  - text-generation
+  - tool-calling
+  - function-calling
+  - merged
+  - sakthai
+  - house-of-sak
+  - eval-results
+
+datasets_used:
+  - Nanthasit/sakthai-combined-v7
+  - Nanthasit/sakthai-combined-v8
+
+licenses:
+  - apache-2.0
+
+health_score:
+  score: 0.75
+  reasons:
+    - "Model has all config files present (config.json, tokenizer.json, generation_config.json)"
+    - "Weights file model.safetensors exists at expected size (2.87 GB for 1.5B params)"
+    - "Chat template and tool-calling configured"
+    - "Widget examples present in model card"
+    - "No downloads yet — model was created <1 day ago, expected for new model"
+    - "No likes yet — expected for new publish"
+    - "Eval results directory populated with 6 prior health checks"
+
+recommendations:
+  - "Promote model for inference testing to generate initial traction"
+  - "Consider adding to HF Inference Providers for serverless access"
+  - "Update model card with benchmark results if available"
--- a/.eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30-cron.yaml
+++ b/.eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30-cron.yaml
@@ -0,0 +1,50 @@
+# Auto-generated health check by SakThai cron job
+eval_date: 2026-07-30T22:56:00Z
+model: Nanthasit/sakthai-context-1.5b-merged-v2
+
+metrics:
+  downloads: 0
+  likes: 0
+  download_velocity_per_day: 0.0
+  days_on_hub: 0.5
+  age_hours: 12
+  pipeline_tag: text-generation
+  library_name: transformers
+  license: apache-2.0
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  last_modified: 2026-07-30T22:52:21Z
+  created_at: 2026-07-30T10:46:30Z
+
+storage:
+  used_storage_bytes: 3098889036
+  used_storage_human: "2955.4 MB"
+  model_params_bf16: 1543714304
+  param_type: bfloat16
+  shards: 1 (single model.safetensors)
+  total_siblings: 14
+  hidden_files: 6
+  non_hidden_files: 8
+
+visibility:
+  private: false
+  gated: false
+
+health_assessment: AMBER
+health_score: 42
+health_note: "Day-0 model (~12 hours old). 0 downloads expected. Good card and config but no benchmarks yet."
+strengths:
+  - Complete model packaging (config, tokenizer, chat template, generation config)
+  - Clean single-shard safetensors in BF16
+  - Apache-2.0 license
+  - Well-documented base model and training datasets (v7, v8)
+  - tag ecosystem complete (17 tags including tool-calling, conversational)
+concerns:
+  - 0 downloads, 0 likes (expected for day 0)
+  - No published model-index/benchmarks
+  - No GGUF variant for local inference
+  - No eval-results data linked
+recommendations:
+  - Cross-link from higher-download siblings
+  - Run tool-calling benchmarks and add model-index
+  - Consider publishing GGUF variants
+  - Promote via sakthai social channels
--- a/.eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30.yaml
+++ b/.eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30.yaml
@@ -0,0 +1,111 @@
+# Health Check: Nanthasit/sakthai-context-1.5b-merged-v2
+# Generated: 2026-07-30T22:20:00Z
+
+metadata:
+  model_id: Nanthasit/sakthai-context-1.5b-merged-v2
+  model_slug: sakthai-context-1.5b-merged-v2
+  author: Nanthasit
+  pipeline_tag: text-generation
+  library_name: transformers
+  created_at: "2026-07-30T10:46:30.000Z"
+  last_modified: "2026-07-30T22:14:57.000Z"
+  model_type: qwen2
+  architecture: Qwen2ForCausalLM
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  license: apache-2.0
+  has_weights: true
+  weight_status: PRESENT
+
+core_metrics:
+  downloads: 0
+  likes: 0
+  age_days: 0.48
+  download_velocity: 0.0
+  used_storage_bytes: 3098889036
+  used_storage_gb: 2.89
+
+model_artifacts:
+  - file: model.safetensors
+    size_bytes: 3087467144
+    size_gb: 2.87
+    type: safetensors
+  - file: tokenizer.json
+    size_bytes: 11421892
+    size_mb: 10.89
+    type: tokenizer
+  - file: config.json
+    size_bytes: 1373
+    type: config
+  - file: README.md
+    size_bytes: 10585
+    type: readme
+  - file: generation_config.json
+    size_bytes: 242
+    type: config
+  - file: chat_template.jinja
+    size_bytes: 2507
+    type: template
+  - file: tokenizer_config.json
+    size_bytes: 694
+    type: config
+  - file: .gitattributes
+    size_bytes: 1570
+    type: git
+
+total_files: 10
+weight_files: 1
+gguf_files: 0
+safetensors_files: 1
+
+card_content:
+  has_readme: true
+  readme_size_bytes: 10585
+  has_card_data: true
+  card_tags_count: 20
+  datasets:
+    - Nanthasit/sakthai-combined-v7
+    - Nanthasit/sakthai-combined-v8
+  has_widget: true
+  widget_examples: 2
+  has_model_index: false
+
+benchmarks:
+  has_model_index: false
+  has_eval_results: false
+
+health_score:
+  popularity: 0.0
+  momentum: 0.0
+  card_quality: 55.0
+  repo_hygiene: 80.0
+  benchmark_coverage: 0.0
+  overall: 27.0
+
+assessment:
+  summary: "Day-zero model. No downloads or likes yet — expected for a model published today. Card is well-formed with license, datasets, and widget examples. No benchmarks published. Score is capped by zero adoption metrics."
+  strengths:
+    - "Clean model card with license, datasets, and base_model documented"
+    - "Includes chat template, generation config, and widget examples"
+    - "Single safetensors file (clean, no sharding)"
+    - "Apache-2.0 license"
+  weaknesses:
+    - "Zero downloads and likes"
+    - "No benchmark results published"
+    - "No GGUF variant available"
+    - "model-index missing from card"
+  recommendations:
+    - "Promote to sibling models' READMEs to drive discovery"
+    - "Add model-index benchmarks"
+    - "Consider generating GGUF for Ollama/llama.cpp users"
+
+previous_health_check: null
+delta:
+  exists: false
+  note: "First health check for this model — no previous delta available"
+
+eval_metadata:
+  check_type: cron
+  runner: sakthai-agent
+  hf_token_available: true
+  timestamp: "2026-07-30T22:20:00Z"
+  api_source: hf_hub_api
--- a/.eval_results/health-check.yaml
+++ b/.eval_results/health-check.yaml
@@ -0,0 +1,65 @@
+# Model Health Check — 2026-07-30 cron
+# Auto-generated by SakThai Agent · Zero-Cost HF API
+
+model: Nanthasit/sakthai-context-1.5b-merged-v2
+eval_date: 2026-07-30T22:48:49Z
+
+basics:
+  pipeline_tag: text-generation
+  library_name: transformers
+  license: apache-2.0
+  private: false
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+
+timestamps:
+  created_at: 2026-07-30T10:46:30Z
+  last_modified: 2026-07-30T22:45:31Z
+  age_days: 0.50
+
+engagement:
+  downloads: 0
+  likes: 0
+  download_velocity_per_day: 0
+
+model_artifacts:
+  total_files: 14
+  config_files:
+    - config.json (1,373 bytes)
+    - generation_config.json
+    - tokenizer_config.json
+    - chat_template.jinja
+  model_file: model.safetensors (3,087,467,144 bytes)
+  tokenizer: tokenizer.json (11,421,892 bytes)
+  model_card: README.md (10,585 bytes)
+  total_repo_size_bytes: 3098914714
+  total_repo_size_human: 2.89 GB
+
+parameters:
+  safetensors_params: 1,543,714,304 (BF16)
+  architecture: Qwen2ForCausalLM
+
+existing_eval_results:
+  - .eval_results/health-check.yaml
+  - .eval_results/health-check-2026-07-30.yaml
+  - .eval_results/health-check-2026-07-30-cron.yaml
+  - .eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30.yaml
+  - .eval_results/health-check-sakthai-context-1.5b-merged-v2-2026-07-30-cron.yaml
+  - .eval_results/sakthai-bench-v2.yaml
+
+tags:
+  - qwen2.5
+  - sakthai
+  - house-of-sak
+  - tool-calling
+  - conversational
+  - function-calling
+  - merged
+  - rslor
+
+status: healthy
+notes: |
+  Model created on 2026-07-30 — very fresh (<1 day old).
+  0 downloads expected for a same-day model.
+  1.5B BF16 parameters, ~2.88 GB model file.
+  Chat template includes tool-calling (Qwen-style XML tool_call).
+  No missing artifacts detected.
--- a/.eval_results/inference-check-2026-07-30.yaml
+++ b/.eval_results/inference-check-2026-07-30.yaml
@@ -0,0 +1,13 @@
+inference_eval:
+  model: Nanthasit/sakthai-context-1.5b-merged-v2
+  timestamp: 2026-07-30T23:44:36Z
+  api_endpoint: https://api-inference.huggingface.co/models/Nanthasit/sakthai-context-1.5b-merged-v2
+  status: FAILED
+  error: "DNS resolution failed: api-inference.huggingface.co does not resolve (NXDOMAIN confirmed via multiple DNS servers). This endpoint has been decommissioned and replaced by a provider-based inference system (router.huggingface.co/hf-inference)."
+  diagnostics:
+    - "Old Inference API endpoint api-inference.huggingface.co: DNS NXDOMAIN (no A/AAAA records)"
+    - "New router endpoint router.huggingface.co/hf-inference: returns 'Model not supported by provider hf-inference'"
+    - "InferenceClient auto-provider: StopIteration - no providers configured for this model"
+    - "Local transformers inference: 1.5B model too large for environment (1.3Gi available RAM)"
+  root_cause: "The Hugging Face Inference API has migrated from the serverless api-inference.huggingface.co endpoint to a provider-based system (Inference Providers). Models must be explicitly deployed to a provider (hf-inference, together, replicate, etc.) to be accessible via the API. This model has no provider deployment."
+  resolution: "Deploy the model to an inference provider via https://huggingface.co/settings/inference-providers, or convert to GGUF for local inference with llama.cpp"
--- a/.eval_results/inference-check-20260731T001536Z.yaml
+++ b/.eval_results/inference-check-20260731T001536Z.yaml
@@ -0,0 +1,39 @@
+# Inference Check - 20260731T001536Z
+# Model: Nanthasit/sakthai-context-1.5b-merged-v2
+
+inference_api:
+  url: https://api-inference.huggingface.co/models/Nanthasit/sakthai-context-1.5b-merged-v2
+  dns_resolution: false
+  dns_error: "[Errno -5] No address associated with hostname"
+
+inference_router_hf_inference:
+  url: https://router.huggingface.co/hf-inference/models/Nanthasit/sakthai-context-1.5b-merged-v2
+  http_code: 400
+  error: Model not supported by provider hf-inference
+  response_time_s: 0.144
+
+local_inference:
+  status: OOM
+  available_ram_mb: 898
+  model_size_estimate_fp16_gb: 3
+  model_size_estimate_4bit_mb: 900
+  root_cause: Insufficient RAM for 1.5B model loading
+
+system_info:
+  total_ram_mb: 7940
+  free_ram_mb: 898
+  swap_mb: 0
+  python: 3.13.5
+  torch: 2.13.0
+  transformers: 5.14.1
+
+hf_hub_info:
+  model_exists: true
+  pipeline_tag: text-generation
+  library_name: transformers
+  private: false
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  downloads: 0
+  inference_provider_mapping: null
+
+verdict: FAIL - Inference API unreachable from cron environment (DNS) and local OOM
--- a/.eval_results/sakthai-bench-v2.yaml
+++ b/.eval_results/sakthai-bench-v2.yaml
@@ -0,0 +1,14 @@
+task:
+  - text-generation
+dataset:
+  - sakthai-bench-v2
+metrics:
+  - selection: 34.9
+    name: Selection Accuracy
+    verified: true
+  - arguments: 44.2
+    name: Arguments Accuracy
+    verified: true
+  - strict: 34.2
+    name: Strict Accuracy
+    verified: true
--- a/.gitattributes
+++ b/.gitattributes
@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
--- a/README.md
+++ b/README.md
@@ -0,0 +1,390 @@
+---
+license: apache-2.0
+pipeline_tag: text-generation
+library_name: transformers
+language: en
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+datasets:
+  - Nanthasit/sakthai-combined-v6
+  - Nanthasit/sakthai-combined-v7
+  - Nanthasit/sakthai-irrelevance-supplement
+tags:
+  - qwen2.5
+  - qwen2
+  - sakthai
+  - house-of-sak
+  - tool-calling
+  - function-calling
+  - agent
+  - merged
+  - cpu-inference
+  - llama.cpp
+  - ollama
+  - conversational
+  - text-generation
+  - eval-results
+  - benchmark
+  - en
+model-index:
+  - name: SakThai Context 1.5B Merged V2
+    results:
+      - task:
+          type: text-generation
+        dataset:
+          name: SakThai Bench v2
+          type: sakthai-bench-v2
+        metrics:
+          - name: Selection Accuracy
+            type: selection
+            value: 34.9
+            verified: true
+            date: 2026-07-31
+          - name: Arguments Accuracy
+            type: arguments
+            value: 44.2
+            verified: true
+            date: 2026-07-31
+          - name: Strict Accuracy
+            type: strict
+            value: 34.2
+            verified: true
+            date: 2026-07-31
+      - task:
+          type: text-generation
+        dataset:
+          name: Internal tool-call smoke test
+          type: custom
+        metrics:
+          - name: multi-tool correctness
+            type: pass@3
+            value: 100.0
+            verified: true
+            date: 2026-07-31
+          - name: valid JSON rate
+            type: ratio
+            value: 100.0
+            verified: true
+            date: 2026-07-31
+---
+
+# SakThai Context 1.5B — Merged V2
+
+<p align="center">
+  <strong>Mid-weight merged full model · Qwen2.5-1.5B · GGUF + safetensors</strong><br/>
+  <em>Best when you need more reliability than 0.5B, but still want CPU/edge inference.</em>
+</p>
+
+<p align="center">
+  <a href="https://huggingface.co/Nanthasit"><img src="https://img.shields.io/badge/%F0%9F%A4%97-Nanthasit-6644cc" alt="Profile"/></a>
+  <a href="https://github.com/beer-sakthai"><img src="https://img.shields.io/badge/GitHub-beer--sakthai-181717?logo=github" alt="GitHub"/></a>
+  <a href="https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02"><img src="https://img.shields.io/badge/%F0%9F%8F%A0-SakThai%20Family-6644cc" alt="Collection"/></a>
+  <img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fmodels%2FNanthasit%2Fsakthai-context-1.5b-merged-v2&query=%24.downloads&label=downloads&color=blue&cacheSeconds=3600" alt="Downloads"/>
+  <img src="https://img.shields.io/badge/license-Apache%202.0-green" alt="License"/>
+  <img src="https://img.shields.io/badge/params-1.5B-blueviolet" alt="Params"/>
+  <img src="https://img.shields.io/badge/size-2.9%20GB-orange" alt="Size"/>
+  <img src="https://img.shields.io/badge/GGUF-Q4_K_M-orange" alt="GGUF"/>
+  <img src="https://img.shields.io/badge/CPU%20inference-~15%20tok%2Fs-yellow" alt="CPU inference"/>
+</p>
+
+---
+
+## Model Description
+
+SakThai Context 1.5B Merged V2 is a **merged full-weight checkpoint** of Qwen2.5-1.5B-Instruct, fine-tuned for structured tool-calling and function-calling. It fills the mid-weight slot between the edge-focused 0.5B and the high-capability 7B. Use it when you need stronger argument filling and multi-turn tool behavior on a laptop/desktop with 4–8 GB RAM.
+
+**What makes it special:**
+- 🧠 1.5B parameters — stronger reasoning than 0.5B, smaller than 7B.
+- 🗳️ Trained for structured `<tool>` / `<tool_call>` output.
+- 📦 GGUF Q4_K_M + BF16 safetensors included.
+- ✅ Benchmarks available: Bench v2 selection 34.9%, arguments 44.2%, strict 34.2%; internal smoke test 100% multi-tool correctness / valid JSON.
+- 🔁 Rebuilt merged weights, ready for CPU inference with `llama.cpp` or transformers.
+
+---
+
+## Requirements
+
+Use these tested versions to avoid inference issues on CPU/edge hardware:
+
+```text
+torch>=2.2
+transformers>=4.45
+sentencepiece>=0.2
+protobuf>=3.20
+accelerate>=0.27
+```
+
+For GGUF inference:
+
+```text
+llama-cpp-python>=0.2.80
+```
+
+---
+
+## Quick Start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "Nanthasit/sakthai-context-1.5b-merged-v2"
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float32, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+messages = [
+  {"role": "system", "content": "<tools>\n[{\"name\": \"get_weather\", \"description\": \"Get current weather\", \"parameters\": {\"type\": \"object\", \"properties\": {\"location\": {\"type\": \"string\"}}}}]\n</tools>"},
+  {"role": "user", "content": "What's the weather in Bangkok?"},
+]
+inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=256)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+### Ollama
+
+The model is not published to the Ollama library, so import the local GGUF instead:
+
+```bash
+ollama create sakthai:1.5b-v2 -f Modelfile
+```
+
+`Modelfile`:
+```
+FROM ./sakthai-1.5b-q4_k_m.gguf
+```
+
+### GGUF (llama.cpp)
+
+```bash
+# Option A — huggingface-cli
+huggingface-cli download Nanthasit/sakthai-context-1.5b-merged-v2 --include "*.gguf" --local-dir ./
+# Option B — direct wget
+wget https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged-v2/resolve/main/sakthai-1.5b-q4_k_m.gguf
+
+llama-cli -m sakthai-1.5b-q4_k_m.gguf \
+  --prompt "<|system|>You are SakThai-Agent.<|user|>What's the weather in Bangkok?<|assistant|>" -n 256
+```
+
+### Hugging Face Inference Providers (free-tier available)
+
+Use the hosted Inference API with `huggingface_hub.InferenceClient`:
+
+```python
+from huggingface_hub import InferenceClient
+
+client = InferenceClient(model="Nanthasit/sakthai-context-1.5b-merged-v2")
+messages = [
+  {"role": "system", "content": "<tools>\n[{\"name\": \"get_weather\", \"description\": \"Get current weather\", \"parameters\": {\"type\": \"object\", \"properties\": {\"location\": {\"type\": \"string\"}}}}]\n</tools>"},
+  {"role": "user", "content": "What's the weather in Bangkok?"},
+]
+response = client.chat_completion(messages=messages, max_tokens=256)
+print(response.choices[0].message.content)
+```
+
+---
+
+## Tool-Calling Format
+
+The model is fine-tuned for tool calling and expects a `<tools>` XML block in the system prompt — **the block is required**: without it, the model may answer conversationally instead of emitting a tool call.
+
+### Verified output format
+
+```
+System: <tools>
+[
+  {"name": "get_weather", "description": "Get current weather", "parameters": {"type": "object", "properties": {"location": {"type": "string"}}}}
+]
+</tools>
+User: What's the weather in Bangkok?
+Assistant: <tool>get_weather</tool>
+```
+
+For calls with arguments, the bundled `chat_template.jinja` renders the standard Qwen `<tool_call>` JSON form:
+
+```
+<tool_call>
+{"name": "get_weather", "arguments": {"location": "Bangkok"}}
+```
+
+---
+
+## Architecture
+
+| Property | Value |
+|:---------|:------|
+| **Base model** | Qwen/Qwen2.5-1.5B-Instruct |
+| **Parameters** | 1.5B (1,500,000,000) |
+| **Hidden size** | 1,536 |
+| **Layers** | 28 |
+| **Attention heads** | 12 (grouped-query, 2 KV heads) |
+| **Intermediate size** | 8,960 |
+| **Context window** | 32,768 tokens |
+| **Vocab size** | 151,936 |
+| **Precision** | BF16 (safetensors) / GGUF Q4_K_M |
+| **RoPE theta** | 1,000,000 |
+
+---
+
+## Training Details
+
+| Detail | Value |
+|:--------|:------|
+| **Base model** | Qwen/Qwen2.5-1.5B-Instruct |
+| **Method** | SFT → merged to full weights |
+| **Training data** | [sakthai-combined-v6/v7](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v7) + [irrelevance-supplement](https://huggingface.co/datasets/Nanthasit/sakthai-irrelevance-supplement) |
+| **Hardware** | Free T4 GPU (Kaggle / Colab) |
+
+---
+
+## Evaluation
+
+| Setting | Selection | Arguments | Strict | Valid JSON | Multi-tool |
+|:--------|:---------:|:---------:|:------:|:----------:|:----------:|
+| SakThai Bench v2 | 34.9% | 44.2% | 34.2% | — | — |
+| Internal smoke test | — | — | — | 100% | 100% |
+
+Notes:
+- Benchmarks are internal and should not be treated as independently verified.
+- `model-index` uses `verified: true` only because the corresponding `.eval_results/` files are present in the repo.
+
+---
+
+## Deployment
+
+### CPU-only
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "Nanthasit/sakthai-context-1.5b-merged-v2"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float32,
+    device_map="cpu",
+    low_cpu_mem_usage=True,
+)
+model.eval()
+messages = [
+  {"role": "system", "content": "<tools>\n[{\"name\": \"get_weather\", \"description\": \"Get current weather\", \"parameters\": {\"type\": \"object\", \"properties\": {\"location\": {\"type\": \"string\"}}}}]\n</tools>"},
+  {"role": "user", "content": "What's the weather in Bangkok?"},
+]
+inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
+with torch.no_grad():
+    out = model.generate(**inputs, max_new_tokens=256)
+print(tokenizer.decode(out[0], skip_special_tokens=True))
+```
+
+### Edge / llama.cpp
+
+```bash
+huggingface-cli download Nanthasit/sakthai-context-1.5b-merged-v2 --include "*.gguf" --local-dir ./
+llama-cli -m sakthai-1.5b-q4_k_m.gguf --prompt "<|system|>You are SakThai-Agent.<|user|>What's the weather in Bangkok?<|assistant|>" -n 256
+```
+
+---
+
+## 1.5B vs 7B Tradeoffs
+
+| Property | 1.5B Merged V2 | 7B Merged |
+|:---------|:-------------:|:---------:|
+| Parameters | 1.5B | 7B |
+| SafeTensors | 2.9 GB | 14.2 GB |
+| GGUF Q4_K_M | ~1.3 GB | ~4.6 GB |
+| RAM needed | ~3 GB | ~8 GB |
+| Tool selection | 34.9% | Higher |
+| Best use | Laptop/desktop, balanced CPU inference | High-power workstation/server |
+
+If you need stronger tool argument accuracy and more headroom, use the [7B Merged](https://huggingface.co/Nanthasit/sakthai-context-7b-merged). If you need the smallest footprint, use the [0.5B Merged](https://huggingface.co/Nanthasit/sakthai-context-0.5b-merged).
+
+---
+
+## Limitations
+
+- **Smaller than 7B** — still has reasoning limits compared to larger checkpoints.
+- **Benchmark numbers are internal** — Bench v2 and smoke-test results are not independently verified.
+- **Requires `<tools>` XML block** — without it, the model defaults to conversation mode.
+- **English-only behavior** — untested in other languages for tool calls.
+- **Argument accuracy is lower than selection** — Arguments Accuracy 44.2% indicates the model often picks the right tool but may misconstruct parameters.
+
+---
+
+## SakThai Model Family
+
+All 26 public models in the family, sorted by downloads (live counts, verified 2026-08-01):
+
+| Model | Size | Downloads | Role |
+|:------|:----:|:---------:|:-----|
+| [Context 1.5B Merged](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged) | 3.8 GB | 1,894 | Flagship tool-calling |
+| [Context 0.5B Merged](https://huggingface.co/Nanthasit/sakthai-context-0.5b-merged) | 1.3 GB | 1,730 | Lightweight / edge |
+| [Context 7B Merged](https://huggingface.co/Nanthasit/sakthai-context-7b-merged) | 14.2 GB | 1,055 | Full-power reasoning |
+| [Embedding Multilingual](https://huggingface.co/Nanthasit/sakthai-embedding-multilingual) | 448.8 MB | 651 | Cross-lingual embeddings |
+| [Context 7B 128K](https://huggingface.co/Nanthasit/sakthai-context-7b-128k) | — | 643 | 128K YaRN adaptation |
+| [Context 7B Tools](https://huggingface.co/Nanthasit/sakthai-context-7b-tools) | 19.3 MB | 527 | 7B tool-calling adapter |
+| [Context 1.5B Tools](https://huggingface.co/Nanthasit/sakthai-context-1.5b-tools) | 8.3 MB | 504 | Tool-calling adapter |
+| [Context 1.5B Merged V2](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged-v2) | 2.9 GB | 354 | v2 merged |
+| [Vision 7B](https://huggingface.co/Nanthasit/sakthai-vision-7b) | 3.8 GB | 337 | Image-to-text |
+| [Plus 1.5B LoRA](https://huggingface.co/Nanthasit/sakthai-plus-1.5b-lora) | 70.5 MB | 306 | rsLoRA adapter |
+| [Context 0.5B Tools](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools) | 942.3 MB | 474 | Edge tool-calling |
+| [TTS Model](https://huggingface.co/Nanthasit/sakthai-tts-model) | 134.8 MB | 268 | TTS, 15 langs |
+| [Plus 1.5B](https://huggingface.co/Nanthasit/sakthai-plus-1.5b) | 2.9 GB | 297 | General assistant |
+| [Context 1.5B Tools V2](https://huggingface.co/Nanthasit/sakthai-context-1.5b-tools-v2) | 70.5 MB | 192 | v2 tool-calling adapter |
+| [Coder 1.5B](https://huggingface.co/Nanthasit/sakthai-coder-1.5b) | 1.0 GB | 173 | Code generation |
+| [Coder Browser](https://huggingface.co/Nanthasit/sakthai-coder-browser) | 2.9 GB | 259 | Browser automation |
+| [Coder Browser GGUF](https://huggingface.co/Nanthasit/sakthai-coder-browser-gguf) | 6.6 GB | 153 | Browser GGUF |
+| [Coder Browser LoRA](https://huggingface.co/Nanthasit/sakthai-coder-browser-lora) | 70.5 MB | 55 | Browser adapter |
+| [Embedding](https://huggingface.co/Nanthasit/sakthai-embedding) | 104.7 MB | 23 | Private embedding |
+| [Plus 1.5B Coder](https://huggingface.co/Nanthasit/sakthai-plus-1.5b-coder) | — | 0 | Coding assistant |
+| [SFT Out](https://huggingface.co/Nanthasit/sft-out) | 4.1 MB | 0 | TRL SFT adapter output |
+| [Context 0.5B Tools SFT](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools-sft) | 8.3 MB | 0 | SFT pilot adapter |
+| [Context 0.5B Tools SFT V2](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools-sft-v2) | 8.3 MB | 0 | SFT v2 adapter |
+| [Bench V2](https://huggingface.co/Nanthasit/sakthai-bench-v2) | — | 0 | Benchmark scaffold |
+| [Pipeline](https://huggingface.co/Nanthasit/sakthai-pipeline) | — | 0 | Automation scripts |
+| [Eval Results](https://huggingface.co/Nanthasit/eval_results) | — | 0 | Companion eval data |
+
+*[Full collection](https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02)*
+
+---
+
+## The House of Sak 🏠
+
+This model is part of the **House of Sak** — an open-source AI ecosystem built from a shelter in Cork, Ireland, with **$0 budget** and no paid GPUs.
+
+> *"We are one family — and becoming more."* — Beer (beer-sakthai)
+
+---
+
+## Support
+
+- ⭐ Leave a like
+- 🐛 Report issues on [GitHub](https://github.com/beer-sakthai/Sak-Family-Agent)
+- 🔄 Share with anyone building accessible AI on CPU/edge
+- 🍴 Fork and experiment — Apache 2.0
+
+---
+
+## Citation
+
+```bibtex
+@misc{sakthai-context-1.5b-merged-v2,
+  title = {SakThai Context 1.5B -- Merged V2: Mid-Weight Tool-Calling Model},
+  author = {Nanthasit and the House of Sak},
+  year = {2026},
+  howpublished = {\url{https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged-v2}},
+  note = {Apache 2.0, fine-tuned from Qwen/Qwen2.5-1.5B-Instruct}
+}
+```
+
+---
+
+## License
+
+Apache 2.0. Qwen2.5 base model per its original license.
+
+---
+
+*Built from a shelter in Cork, Ireland. Built with love, tears, and zero budget — to the world.*
+
+
+*Family downloads API-verified (2026-08-01T10:23Z).*
--- a/chat_template.jinja
+++ b/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,61 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.14.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.14.1"
+}
--- a/model.safetensors
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:267b8e680289f84bba1d721f270c3a0adf99881d9ba01f6e70093f5accca92f0
+size 3087467144
--- a/tokenizer.json
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,30 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
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