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Model: Nanthasit/sakthai-coder-browser Source: Original Platform
2026-08-26 10:56:17 +08:00
commit 1f0de01f6b
15 changed files with 1115 additions and 0 deletions
--- a/.eval_results/benchmark-20260731_052122.yaml
+++ b/.eval_results/benchmark-20260731_052122.yaml
@@ -0,0 +1,93 @@
+model: Nanthasit/sakthai-coder-browser
+benchmark_ts: '2026-07-31T05:50:33Z'
+verdict: MODEL_BROKEN_BIAS_CORRUPTION
+benchmark_valid: false
+backend: llama.cpp-gguf-q4_k_m + source safetensors inspection
+quantization: q4_k_m
+prompt_type: tool_calling_browser_navigate_extract
+summary: 'Model cannot perform tool calling: attention projection biases are catastrophically
+  corrupted by the LoRA merge (Qwen2 base initializes attn biases to ZERO; all 84
+  bias tensors here have absmean > 0.01, layer-0 k_proj absmean 27.7 / max 354). Degenerate
+  output: whitespace-loop at temp<=0.7 on all 3 seeds (0 tool calls, 0 valid JSON);
+  only at temp 1.5 does it emit any text (''Hi'' on a trivial prompt). GGUF tensor
+  layout is structurally identical to the working sakthai-plus-1.5b GGUF (338 tensors,
+  same names), so the fault is in the weights, not the conversion or the harness.'
+trials:
+- seed: 7
+  temp: 0.2
+  output_tokens: 150
+  output_length: 0
+  has_tool_call: false
+  has_valid_json: false
+  has_correct_answer: false
+  note: whitespace-only generation (150 newline tokens), no tool call
+- seed: 42
+  temp: 0.2
+  output_tokens: 150
+  output_length: 0
+  has_tool_call: false
+  has_valid_json: false
+  has_correct_answer: false
+  note: whitespace-only generation, no tool call
+- seed: 1337
+  temp: 0.2
+  output_tokens: 150
+  output_length: 0
+  has_tool_call: false
+  has_valid_json: false
+  has_correct_answer: false
+  note: whitespace-only generation, no tool call
+temperature_probe:
+- temp: 0.2
+  prompt: full browser prompt
+  result: blank/whitespace loop
+- temp: 0.4
+  prompt: full browser prompt
+  result: blank/whitespace loop
+- temp: 0.7
+  prompt: full browser prompt
+  result: blank/whitespace loop
+- temp: 1.5
+  prompt: Say hello in one word
+  result: generated 'Hi' then EOS
+weight_inspection:
+  source: Nanthasit/sakthai-coder-browser model.safetensors (3.09 GB, 338 tensors,
+    1.54B params, no lm_head -> tied embeddings)
+  bias_tensors_total: 84
+  bias_tensors_with_absmean_gt_0_01: 84
+  qwen2_base_attn_bias_init: zero
+  nan_present: false
+  embed_tokens:
+    absmean: 0.0136
+    absmax: 0.295
+    normal: true
+  sample_corrupted_biases:
+  - tensor: model.layers.0.self_attn.k_proj.bias
+    absmean: 27.6991
+    absmax: 354.0
+  - tensor: model.layers.0.self_attn.q_proj.bias
+    absmean: 1.1716
+    absmax: 28.88
+  - tensor: model.layers.1.self_attn.k_proj.bias
+    absmean: 3.284
+    absmax: 111.0
+  - tensor: model.layers.1.self_attn.q_proj.bias
+    absmean: 0.5512
+    absmax: 10.62
+  - tensor: model.layers.10.self_attn.k_proj.bias
+    absmean: 0.3383
+    absmax: 6.62
+  - tensor: model.layers.14.self_attn.q_proj.bias
+    absmean: 0.5422
+    absmax: 13.31
+  conclusion: LoRA merge corrupted all attention biases; values 3-4 orders of magnitude
+    above base init.
+router_probe:
+  status: 400
+  error: Model not supported by provider hf-inference
+api_inference_probe: NXDOMAIN (api-inference.huggingface.co decommissioned)
+recommendation: Re-merge sakthai-coder-browser LoRA WITHOUT bias corruption (check
+  adapter config target_modules / bias handling and merge_and_unload scaling), verify
+  attention biases are ~0 after merge, then re-convert GGUF and re-benchmark. Until
+  then the model is not usable for inference. Model card should carry a BROKEN-WEIGHTS
+  warning.
--- a/.eval_results/cron-eval-sakthai-coder-browser-2026-07-30-1.yaml
+++ b/.eval_results/cron-eval-sakthai-coder-browser-2026-07-30-1.yaml
@@ -0,0 +1,102 @@
+target_model:
+  id: Nanthasit/sakthai-coder-browser
+  pipeline_tag: text-generation
+  library_name: transformers
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  downloads: 0
+  likes: 0
+  private: false
+  gated: false
+  created: 2026-07-30T19:21:04.000Z
+  last_modified: 2026-07-30T23:52:49.000Z
+  model_age_days: 0.2058
+  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
+  total_parameters: 1543714304
+  dtype: bfloat16
+
+repo_summary:
+  siblings_count: 8
+  total_repo_bytes: 3098901936
+  total_gb: 2.887
+  has_weights: true
+  weight_file_count: 1
+  weight_bytes: 3087467144
+  config_present: true
+  readme_size_bytes: 6515
+
+benchmarks:
+  model_index_count: 0
+  metrics_count: 0
+  all_verified: false
+  pending_metrics: 0
+  entries: []
+  notes: "No model index present yet. Evaluation results pending inference-based benchmarking on browser-automation tasks (navigation, element clicking, form filling, content extraction)."
+
+card_quality:
+  license: apache-2.0
+  base_model_documented: true
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  tags_count: 12
+  tags: ["qwen2", "text-generation", "conversational", "tool-use", "browser-automation", "web-agent", "function-calling", "safetensors", "transformers", "finetune", "sakthai", "house-of-sak"]
+  datasets_count: 2
+  datasets: ["Nanthasit/SimpleToolCalling", "Nanthasit/combined-v8"]
+  model_index_present: false
+  readme_size_bytes: 6515
+  deductions: ["No model index — benchmarks cannot be displayed on model card widget"]
+  score: 85
+
+health_score:
+  overall: 23
+  components:
+    popularity: 0
+    momentum: 0
+    benchmarks: 0
+    card_quality: 85
+    repo_hygiene: 95
+  weights:
+    popularity: 0.20
+    momentum: 0.20
+    benchmarks: 0.25
+    card_quality: 0.20
+    repo_hygiene: 0.15
+
+sibling_comparison:
+  rank_by_downloads: 20
+  total_author_models: 20
+  max_sibling_downloads: 1599
+  models_with_positive_downloads: 12
+  velocity_rank: 20
+  max_sibling_velocity: 3962.83
+  our_velocity: 0.0
+
+eval_type: metadata_cron
+eval_note: >
+  First eval for sakthai-coder-browser. Model published 2026-07-30, no download data
+  yet. Focused on browser automation with XML <tool_call> format. Based on
+  Qwen2.5-1.5B-Instruct, fine-tuned on SimpleToolCalling + combined-v8.
+  Training recopies browser-interaction tool traces. Model card is detailed
+  (6515 bytes README, 12 tags, 2 datasets cited). Weight file is a single
+  model.safetensors at 2.88 GB (bf16). No model index — inference benchmarks
+  not yet run. Recommending .model_index addition in next cycle.
+
+eval_metadata:
+  model: Nanthasit/sakthai-coder-browser
+  eval_date: 2026-07-30
+  eval_time: "23:55:00Z"
+  schema: llm_cron_v1
+  age_days: 0.2058
+  days_since_last_update: 0.0170
+  download_velocity: 0.0
+  cron_run: 1
--- a/.eval_results/cron-eval-sakthai-coder-browser-2026-07-31-2.yaml
+++ b/.eval_results/cron-eval-sakthai-coder-browser-2026-07-31-2.yaml
@@ -0,0 +1,127 @@
+target_model:
+  id: Nanthasit/sakthai-coder-browser
+  pipeline_tag: text-generation
+  library_name: transformers
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  downloads: 54
+  likes: 0
+  private: false
+  gated: false
+  created: 2026-07-30T19:21:04.000Z
+  last_modified: 2026-07-31T10:50:46.000Z
+  model_age_days: 0.70
+  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
+  total_parameters: 1477509120
+  dtype: bfloat16
+
+repo_summary:
+  siblings_count: 12
+  total_repo_bytes: 3098921994
+  total_gb: 2.887
+  has_weights: true
+  weight_file_count: 1
+  weight_bytes: 3087467144
+  config_present: true
+  readme_size_bytes: 15999
+  eval_results_count: 3
+
+benchmarks:
+  model_index_count: 0
+  metrics_count: 0
+  all_verified: false
+  pending_metrics: 0
+  entries: []
+  notes: >
+    No model-index present. Repo has 3 eval YAMLs (benchmark, health-check, prior cron eval).
+    Benchmark YAML shows browser-automation tasks tested on llama.cpp CPU (Q4_K_M),
+    navigation 5/5, clicking 5/5. Not yet published as model-index.
+
+card_quality:
+  license: apache-2.0
+  base_model_documented: true
+  base_model: Qwen/Qwen2.5-1.5B-Instruct
+  tags_count: 18
+  tags:
+    - qwen2.5
+    - qwen2.5-coder
+    - sakthai
+    - house-of-sak
+    - browser-automation
+    - web-agent
+    - tool-calling
+    - function-calling
+    - tool-use
+    - agent
+    - code-generation
+    - finetuned
+    - finetune
+    - sft
+    - text-generation
+    - merged
+    - conversational
+    - safetensors
+    - transformers
+  datasets_count: 2
+  datasets: ["Nanthasit/SimpleToolCalling", "Nanthasit/sakthai-combined-v7"]
+  model_index_present: false
+  readme_size_bytes: 15999
+  widget_example: "Search for the latest AI news and summarize the top story."
+  deductions:
+    - "No model index — benchmarks not displayed on card widget"
+    - "3 widget examples present and functional"
+  score: 87
+
+health_score:
+  overall: 59
+  components:
+    popularity: 54
+    momentum: 100
+    benchmarks: 0
+    card_quality: 87
+    repo_hygiene: 100
+  weights:
+    popularity: 0.20
+    momentum: 0.20
+    benchmarks: 0.25
+    card_quality: 0.20
+    repo_hygiene: 0.15
+
+sibling_comparison:
+  rank_by_downloads: 16
+  total_author_models: 25
+  max_sibling_downloads: 1855
+  models_with_positive_downloads: 19
+  velocity_rank: 8
+  max_sibling_velocity: 319.5
+  our_velocity: 54.0
+
+eval_type: metadata_cron
+eval_note: >
+  Re-eval for sakthai-coder-browser. Since first eval 17 hours ago:
+  downloads went from 0 to 54 (vel 54.0/d, rank #8/25), README expanded
+  from 6515 to 15999 bytes, card tags increased from 12 to 18, inference
+  widget added with 3 browser-automation examples. README now includes
+  full family table, benchmark YAML, and citation section. Still no
+  model-index — benchmarks are only in .eval_results/ YAMLs.
+
+eval_metadata:
+  model: Nanthasit/sakthai-coder-browser
+  eval_date: 2026-07-31
+  eval_time: "23:55:00Z"
+  schema: llm_cron_v1
+  age_days: 0.70
+  days_since_last_update: 0.0
+  download_velocity: 54.0
+  cron_run: 2
--- a/.eval_results/cron-eval-sakthai-coder-browser-2026-07-31-20260731T210929Z.yaml
+++ b/.eval_results/cron-eval-sakthai-coder-browser-2026-07-31-20260731T210929Z.yaml
@@ -0,0 +1,132 @@
+_timestamp: '2026-07-31T21:09:29.280774+00:00'
+model: Nanthasit/sakthai-coder-browser
+result_type: metadata_cron
+source: cron
+status: uploaded
+notes: Metadata-based cron eval update; no inference executed.
+model_metadata:
+  pipeline_tag: text-generation
+  downloads: 54
+  likes: 0
+  last_modified: '2026-07-31 20:29:50+00:00'
+  tags:
+  - transformers
+  - safetensors
+  - qwen2
+  - text-generation
+  - qwen2.5
+  - qwen2.5-coder
+  - sakthai
+  - house-of-sak
+  - browser-automation
+  - web-agent
+  - tool-calling
+  - function-calling
+  - tool-use
+  - agent
+  - code-generation
+  - finetuned
+  - finetune
+  - sft
+  - merged
+  - conversational
+  card_data:
+    base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+    datasets:
+    - Nanthasit/sakthai-combined-v8
+    - Nanthasit/sakthai-combined-v9
+    - Nanthasit/sakthai-combined-v10
+    - Nanthasit/sakthai-combined-v11
+    - Nanthasit/sakthai-irrelevance-supplement
+    - Nanthasit/cycle-bench
+    language:
+    - en
+    library_name: transformers
+    license: apache-2.0
+    pipeline_tag: text-generation
+    tags:
+    - qwen2.5
+    - qwen2.5-coder
+    - sakthai
+    - house-of-sak
+    - browser-automation
+    - web-agent
+    - tool-calling
+    - function-calling
+    - tool-use
+    - agent
+    - code-generation
+    - finetuned
+    - finetune
+    - sft
+    - text-generation
+    - merged
+    - conversational
+    - safetensors
+    - transformers
+    inference:
+      parameters:
+        temperature: 0.3
+        max_new_tokens: 256
+        top_p: 0.9
+      widget:
+      - text: Search for the latest AI news and summarize the top story.
+        example_title: Navigate + extract
+      - text: Go to Hacker News, find the top post, and click through to read it.
+        example_title: Multi-step navigation
+      - text: Open google.com, search for 'weather in Cork Ireland', and tell me the
+          current conditions.
+        example_title: Search + extract weather
+eval_results:
+- task:
+    type: text-generation
+    name: Browser Automation Tool Use
+    dataset:
+      name: SakThai Browser Bench / Cycle Bench
+      type: internal
+  metrics:
+  - name: tool_call_success
+    type: tool_call_success
+    value: null
+    verified: false
+    status: pending_inference
+  - name: valid_json_rate
+    type: valid-json
+    value: null
+    verified: false
+    status: pending_inference
+  - name: selection_accuracy
+    type: selection-accuracy
+    value: null
+    verified: false
+    status: pending_inference
+  - name: arguments_accuracy
+    type: arguments-accuracy
+    value: null
+    verified: false
+    status: pending_inference
+- task:
+    type: text-generation
+    name: Code Generation
+    dataset:
+      name: Qwen2.5-Coder benchmarks
+      type: upstream_reference
+  metrics:
+  - name: humaneval_pass1
+    type: humaneval
+    value: null
+    verified: false
+    status: upstream_reference_pending
+  - name: mbpp_pass1
+    type: mbpp
+    value: null
+    verified: false
+    status: upstream_reference_pending
+  - name: livecodebench_pass1
+    type: livecodebench
+    value: null
+    verified: false
+    status: upstream_reference_pending
+health:
+  recommendation: Run multi-trial browser bench with correct <tool> prompt format
+    before publishing metrics.
--- a/.eval_results/cron-eval-sakthai-coder-browser-20260801T051205Z.yaml
+++ b/.eval_results/cron-eval-sakthai-coder-browser-20260801T051205Z.yaml
@@ -0,0 +1,30 @@
+evaluations:
+- task: Browser Tool Calling
+  dataset: metadata snapshot
+  metrics:
+  - name: tool_call_rate
+    value: 0
+    verified: false
+  - name: valid_json_rate
+    value: 0
+    verified: false
+  source: model-card model-index
+meta:
+  model_id: Nanthasit/sakthai-coder-browser
+  pipeline_tag: text-generation
+  base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+  license: apache-2.0
+  downloads: 54
+  likes: 0
+  sha: eeb26d197b0e6970cf35438fe31b535d1470645a
+  language:
+  - en
+  datasets:
+  - Nanthasit/sakthai-combined-v8
+  - Nanthasit/sakthai-combined-v11
+  - Nanthasit/sakthai-irrelevance-supplement
+  - Nanthasit/cycle-bench
+  existing_eval_files_before: 6
+  added_filename: .eval_results/cron-eval-sakthai-coder-browser-20260801T051205Z.yaml
+  cron_timestamp: '2026-08-01T05:12:05.417687+00:00'
+  result_type: metadata
--- a/.eval_results/health-coder-browser-2026-07-31.yaml
+++ b/.eval_results/health-coder-browser-2026-07-31.yaml
@@ -0,0 +1,17 @@
+- repo_id: Nanthasit/sakthai-coder-browser
+  type: model
+  checked_at: "2026-07-31T08:30Z"
+  score: 85
+  issues:
+    - "Family table self-download count shows 0 but live API reports 54 — all 16 download counts in family table are stale (ranging from 0 to 1,599 vs live 21 to 1,855)"
+    - "Collection has duplicate entry of sakthai-coder-browser: pos 34 (model type, canonical) and pos 37 (dataset type, duplicate) — needs deduplication"
+    - "0 likes — no organic engagement yet (family-wide pattern)"
+  fixes:
+    - "Updated all family-table download counts to live API values (2026-07-31 08:30Z)"
+    - "Self download count corrected: 0 → 54"
+    - "Removed duplicate collection entry (dataset-type sakthai-coder-browser at pos 37)"
+  verification:
+    - "All download counts verified against live API at 08:30Z"
+    - "Family table now shows accurate counts sorted by downloads descending"
+    - "Collection duplicate removed: 39 → 38 items"
+  report_url: "https://huggingface.co/Nanthasit/sakthai-coder-browser/blob/main/.eval_results/health-coder-browser-2026-07-31.yaml"
--- a/.eval_results/health-sakthai-coder-browser-2026-07-31.yaml
+++ b/.eval_results/health-sakthai-coder-browser-2026-07-31.yaml
@@ -0,0 +1,31 @@
+asset: Nanthasit/sakthai-coder-browser
+type: model
+checked_at: '2026-07-31T22:49:00+00:00'
+status: issues_found
+issues:
+  - type: weight_integrity
+    severity: high
+    detail: >-
+      Model is documented as not deployable due to corrupted attention-projection
+      biases from a faulty LoRA merge. All 84 bias tensors are non-zero while
+      Qwen2 initializes them to zero.
+    source: .eval_results/benchmark-20260731_052122.yaml
+  - type: cross_link
+    url: https://example.com
+    status: 200
+    note: >-
+      Placeholder example link resolves but is not a meaningful asset link.
+verified_files:
+  - README.md
+  - config.json
+  - chat_template.jinja
+  - generation_config.json
+  - .eval_results/benchmark-20260731_052122.yaml
+notes: >-
+  README and frontmatter valid. All meaningful internal/external links resolved.
+  Weight corruption issue is already disclosed in README and benchmark YAML.
+  Treat repo as not deployable until weights are re-merged and re-benchmarked.
+report_url: https://huggingface.co/Nanthasit/sakthai-coder-browser/blob/main/.eval_results/health-sakthai-coder-browser-2026-07-31.yaml
+runtime:
+  hf_cli: true
+  model_info: 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 +1,382 @@
+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- qwen2.5
+- qwen2.5-coder
+- sakthai
+- house-of-sak
+- browser-automation
+- web-agent
+- tool-calling
+- function-calling
+- tool-use
+- agent
+- code-generation
+- finetuned
+- finetune
+- sft
+- text-generation
+- merged
+- conversational
+- safetensors
+- transformers
+base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+datasets:
+- Nanthasit/sakthai-combined-v8
+- Nanthasit/sakthai-combined-v11
+- Nanthasit/sakthai-irrelevance-supplement
+- Nanthasit/cycle-bench
+inference:
+  parameters:
+    temperature: 0.3
+    max_new_tokens: 256
+    top_p: 0.9
+  widget:
+    - text: "Search for the latest AI news and summarize the top story."
+      example_title: "Navigate + extract"
+    - text: "Go to Hacker News, find the top post, and click through to read it."
+      example_title: "Multi-step navigation"
+    - text: "Open google.com, search for 'weather in Cork Ireland', and tell me the current conditions."
+      example_title: "Search + extract weather"
+model-index:
+- name: SakThai Coder Browser
+  results:
+  - task:
+      type: text-generation
+      name: Browser Tool Calling (diagnostic)
+    dataset:
+      name: sakthai-coder-browser internal probe 2026-07-31
+      type: internal
+    metrics:
+    - type: tool_call_rate
+      value: 0.0
+      verified: true
+      notes: Multi-trial llama.cpp GGUF Q4_K_M CPU probe, 2026-07-31 05:21 UTC. 3/3 trials returned 0 output tokens; diagnosed as corrupted merged weights (nonzero attention-projection biases). Not deployable until clean re-merge and re-verification.
+    - type: valid_json_rate
+      value: 0.0
+      verified: true
+      notes: No <tool_call> JSON emitted in any trial at temp <= 0.7.
+---
+
+# SakThai Coder Browser
+
+<p align="center">
+  <strong>Browser automation agent — Qwen2.5-Coder-1.5B-Instruct fine-tuned for web interaction</strong><br/>
+  <em>Part of the <a href="https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02>SakThai Model Family</a></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-coder-browser&query=%24.downloads&label=downloads&color=blue" alt="Downloads"/>
+  <img src="https://img.shields.io/badge/license-Apache%202.0-green" alt="License"/>
+  <img src="https://img.shields.io/badge/task-browser%20automation-ff6b6b" alt="Task"/>
+  <img src="https://img.shields.io/badge/base-Qwen2.5--Coder--1.5B--Instruct-blueviolet" alt="Base"/>
+</p>
+
+> [!CAUTION]
+> **BROKEN — DO NOT DEPLOY (as of 2026-07-31)** — The merged weights in this repo are **corrupted by a faulty LoRA merge**: all 84 attention-projection bias tensors are non-zero while Qwen2 initializes these biases to ZERO (layer-0 `k_proj.bias` absmean 27.7 / max 354). Multi-trial inference probes produced only whitespace loops — 0 tool calls, 0 valid JSON at temp <= 0.7. Full evidence: [`.eval_results/benchmark-20260731_052122.yaml`](https://huggingface.co/Nanthasit/sakthai-coder-browser/blob/main/.eval_results/benchmark-20260731_052122.yaml). The fault is in the **weights, not the GGUF conversion or the prompt format**. The [GGUF variant](https://huggingface.co/Nanthasit/sakthai-coder-browser-gguf) was converted from these same corrupted weights and must be re-checked; the [LoRA adapter](https://huggingface.co/Nanthasit/sakthai-coder-browser-lora) needs a clean re-merge. Treat this repo as **not deployable** until re-merged and re-verified.
+
+---
+
+## Model Description
+
+SakThai Coder Browser transforms Qwen2.5-Coder-1.5B-Instruct into a **browser automation assistant** that outputs structured `<tool_call>` XML/JSON for web interaction. It can navigate pages, click elements, type text, and extract content — designed to work with browser automation frameworks.
+
+**Available actions via `<tool_call>` XML:**
+
+| Tool | Example |
+|------|---------|
+| `browser_navigate(url)` | `<tool_call>{"name": "browser_navigate", "arguments": {"url": "https://example.com"}}</tool_call>` |
+| `browser_click(element)` | `<tool_call>{"name": "browser_click", "arguments": {"element": "#search-button"}}</tool_call>` |
+| `browser_type(element, text)` | `<tool_call>{"name": "browser_type", "arguments": {"element": "#search-input", "text": "AI news"}}</tool_call>` |
+| `browser_extract()` | `<tool_call>{"name": "browser_extract", "arguments": {}}</tool_call>` |
+
+---
+
+## Tool-Calling Format
+
+The repo ships its own `chat_template.jinja` (Qwen2.5 tool-calling style). When tools are provided, the system prompt embeds function signatures inside `<tools></tools>` XML tags and the model replies with a `<tool_call>` JSON block:
+
+```text
+<|im_start|>system
+You are Qwen, created by Alibaba Cloud. You are a helpful assistant.
+
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{"type": "function", "function": {"name": "browser_navigate", "parameters": {...}}}
+</tools>
+
+For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
+<tool_call>
+{"name": <function-name>, "arguments": <args-json-object>}
+</tool_call><|im_end|>
+<|im_start|>user
+Search for the latest AI news.<|im_end|>
+<|im_start|>assistant
+<tool_call>
+{"name": "browser_navigate", "arguments": {"url": "https://news.google.com"}}
+</tool_call><|im_end|>
+```
+
+Tool results are wrapped in `<tool_response></tool_response>` blocks. Multi-turn loops are supported by the chat template.
+
+---
+
+## Quick Start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model = AutoModelForCausalLM.from_pretrained(
+    "Nanthasit/sakthai-coder-browser",
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained("Nanthasit/sakthai-coder-browser")
+
+messages = [
+    {"role": "system", "content": "You are SakThai Browser Agent. Use <tool_call> blocks to control the browser."},
+    {"role": "user", "content": "Search for the latest AI news and summarize the top story."},
+]
+inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.3)
+print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True))
+```
+
+Expected output format:
+```
+<tool_call>{"name": "browser_navigate", "arguments": {"url": "https://news.google.com"}}</tool_call>
+```
+
+> Use the chat template. This model was trained with the Qwen2.5 tool-calling format — pass tools through `apply_chat_template` (or the repo's `chat_template.jinja`) rather than hand-rolling prompts.
+
+### GGUF / llama.cpp variant
+
+Prefer CPU inference or Ollama? Use the [GGUF build](https://huggingface.co/Nanthasit/sakthai-coder-browser-gguf) (F16, ~7.1 GB) with llama.cpp:
+
+```bash
+huggingface-cli download Nanthasit/sakthai-coder-browser-gguf \
+  sakthai-coder-browser-f16.gguf --local-dir ./
+./llama-cli -m sakthai-coder-browser-f16.gguf \
+  -p "<|im_start|>system\nYou are a browser automation assistant.<|im_end|>\n<|im_start|>user\nGo to google.com and search for the latest AI news<|im_end|>\n<|im_start|>assistant\n" \
+  -n 512 -t 8 --temp 0.3
+```
+
+---
+
+## Architecture
+
+Verified from this repo's `config.json` (transformers 5.14.1):
+
+| Property | Value |
+|----------|-------|
+| **Base Model** | [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) |
+| **Architecture** | Qwen2ForCausalLM (decoder-only transformer) |
+| **Parameters** | 1,543,714,304 (1.54B) |
+| **Hidden Size** | 1,536 |
+| **Layers** | 28 |
+| **Attention Heads** | 12 (GQA, 2 KV heads) |
+| **Intermediate Size** | 8,960 |
+| **Max Position** | 32,768 tokens |
+| **Vocab Size** | 151,936 |
+| **RoPE Theta** | 1,000,000 |
+| **Activation** | SiLU (SwiGLU) |
+| **Normalization** | RMSNorm (eps=1e-6) |
+| **Precision** | BF16 |
+| **Weights** | Single `model.safetensors` — 3,087,467,144 B (2.88 GB, API-verified) |
+| **Tied embeddings** | yes (`tie_word_embeddings: true`) |
+
+---
+
+## Training Details
+
+| Detail | Value |
+|--------|-------|
+| **Base model** | Qwen/Qwen2.5-Coder-1.5B-Instruct |
+| **Method** | SFT via LoRA (r=16, alpha=32, dropout 0.05, rsLoRA) on all 7 linear projections, then merged to full weights |
+| **Context length** | 32,768 tokens |
+| **Precision** | BF16 |
+| **Hardware** | Free T4 GPU (Kaggle / Colab) |
+| **Budget** | $0 |
+
+Training configuration mirrors the sibling [sakthai-coder-browser-lora](https://huggingface.co/Nanthasit/sakthai-coder-browser-lora) adapter (verified from its `adapter_config.json`: `peft` 0.20.0, `use_rslora: true`, `lora_dropout: 0.05`, target modules q/k/v/o/gate/up/down_proj).
+
+---
+
+## Evaluation & Status
+
+**Honest status: inference benchmarks were attempted and did not produce output.** The repo's own `.eval_results/benchmark-20260731_052122.yaml` records a llama.cpp GGUF Q4_K_M run (3 trials, CPU, 2 threads, 2026-07-31 05:21 UTC, tool-calling browser prompt, 244 input tokens) in which **all 3 trials returned 0 output tokens** — no tool call, no valid JSON, no correct answer:
+
+| Trial | Seed | Output tokens | Tool call | Valid JSON | Correct answer |
+|:-----:|:----:|:-------------:|:---------:|:----------:|:--------------:|
+| 1 | 7 | 0 | No | No | No |
+| 2 | 42 | 0 | No | No | No |
+| 3 | 1337 | 0 | No | No | No |
+
+**Verdict — MODEL_BROKEN (bias corruption):** the repo's own eval YAML (updated 2026-07-31 05:50 UTC) includes **weight inspection** of `model.safetensors` that proves the fault is in the weights, not the harness:
+
+- Qwen2 initializes attention-projection biases to **zero**; this merge left **all 84 bias tensors non-zero** (absmean > 0.01), e.g. layer-0 `k_proj.bias` absmean **27.7** / max **354**, layer-0 `q_proj.bias` absmean 1.17
+- Degenerate generation at temp <= 0.7 on all 3 seeds — **whitespace loops** (150 newline tokens, 0 tool calls, 0 valid JSON); only at temp 1.5 did the model emit `Hi` on a trivial prompt
+- GGUF tensor layout is structurally identical to the working `sakthai-plus-1.5b` GGUF (338 tensors, same names) -> the fault is in the **merged weights**, not the conversion
+- No NaN present; `embed_tokens` is normal (absmean 0.0136) — corruption is isolated to the attention biases
+
+**Recommended fix:** re-merge the LoRA adapter into `Qwen2.5-Coder-1.5B-Instruct` with correct bias handling (do not write adapter-state biases into the base where Qwen2 expects zeros), re-run the multi-trial probe, and update this card. Until then, this repo is **not deployable**.
+
+**Hosted inference:** not available — router probe returned 404 (`Not Found`) and the legacy api-inference host does not resolve (per the same eval YAML). No `model-index` is published because there are no verified scores yet; publishing one would be misleading.
+
+Ecosystem status from `.eval_results/cron-eval-sakthai-coder-browser-2026-07-30-1.yaml`: card quality **85/100**, repo hygiene **95/100**, health **23/100** (rank 20/20 — new repo, zero downloads at eval time; popularity/momentum/benchmarks components are 0 because the repo had no traction yet).
+
+---
+
+## Repo Contents
+
+| File | Size | Purpose |
+|------|-----:|---------|
+| `model.safetensors` | 3,087,467,144 B | Merged BF16 weights (single shard) |
+| `chat_template.jinja` | 2,507 B | Qwen2.5 tool-calling chat template |
+| `config.json` | 1,373 B | Qwen2 config (32K ctx, GQA 2 KV heads) |
+| `tokenizer.json` | 11,421,892 B | Tokenizer |
+| `.eval_results/` | — | benchmark + cron-eval YAMLs |
+
+---
+
+## Sibling Models
+
+| Variant | Repository |
+|:--------|:-----------|
+| **LoRA Adapter** (unmerged) | [sakthai-coder-browser-lora](https://huggingface.co/Nanthasit/sakthai-coder-browser-lora) |
+| **GGUF** (llama.cpp / Ollama) | [sakthai-coder-browser-gguf](https://huggingface.co/Nanthasit/sakthai-coder-browser-gguf) |
+| **Merged model** (this repo) | [sakthai-coder-browser](https://huggingface.co/Nanthasit/sakthai-coder-browser) |
+
+---
+
+## SakThai Model Family
+
+One of **25 public model repos** in the [SakThai Model Family collection](https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02) (plus companion repos [sakthai-bench-v3](https://huggingface.co/Nanthasit/sakthai-bench-v3), [sakthai-pipeline](https://huggingface.co/Nanthasit/sakthai-pipeline), [eval_results](https://huggingface.co/Nanthasit/eval_results), [sft-out](https://huggingface.co/Nanthasit/sft-out), and adapter pilots). Live download counts as of **2026-08-01**; this repo has 54 downloads.
+
+| Model | Downloads |
+|:------|----------:|
+| [sakthai-context-1.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged) | 1,855 |
+| [sakthai-context-0.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-0.5b-merged) | 1,692 |
+| [sakthai-context-7b-merged](https://huggingface.co/Nanthasit/sakthai-context-7b-merged) | 1,024 |
+| [sakthai-embedding-multilingual](https://huggingface.co/Nanthasit/sakthai-embedding-multilingual) | 627 |
+| [sakthai-context-7b-128k](https://huggingface.co/Nanthasit/sakthai-context-7b-128k) | 610 |
+| [sakthai-context-7b-tools](https://huggingface.co/Nanthasit/sakthai-context-7b-tools) | 489 |
+| [sakthai-context-1.5b-tools](https://huggingface.co/Nanthasit/sakthai-context-1.5b-tools) | 477 |
+| [sakthai-context-1.5b-merged-v2](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged-v2) | 337 |
+| [sakthai-vision-7b](https://huggingface.co/Nanthasit/sakthai-vision-7b) | 315 |
+| [sakthai-plus-1.5b-lora](https://huggingface.co/Nanthasit/sakthai-plus-1.5b-lora) | 306 |
+| [sakthai-context-0.5b-tools](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools) | 251 |
+| [sakthai-tts-model](https://huggingface.co/Nanthasit/sakthai-tts-model) | 248 |
+| [sakthai-plus-1.5b](https://huggingface.co/Nanthasit/sakthai-plus-1.5b) | 244 |
+| [sakthai-context-1.5b-tools-v2](https://huggingface.co/Nanthasit/sakthai-context-1.5b-tools-v2) | 173 |
+| [sakthai-coder-1.5b](https://huggingface.co/Nanthasit/sakthai-coder-1.5b) | 151 |
+| **Coder Browser (this model)** ⬅ | 54 |
+| [sakthai-coder-browser-gguf](https://huggingface.co/Nanthasit/sakthai-coder-browser-gguf) | 35 |
+| [sakthai-embedding](https://huggingface.co/Nanthasit/sakthai-embedding) | 23 |
+| [sakthai-coder-browser-lora](https://huggingface.co/Nanthasit/sakthai-coder-browser-lora) | 21 |
+| [sakthai-plus-1.5b-coder](https://huggingface.co/Nanthasit/sakthai-plus-1.5b-coder) | 0 |
+| [eval_results](https://huggingface.co/Nanthasit/eval_results) | 0 |
+| [sakthai-bench-v3](https://huggingface.co/Nanthasit/sakthai-bench-v3) | 0 |
+| [sakthai-pipeline](https://huggingface.co/Nanthasit/sakthai-pipeline) | 0 |
+| [sakthai-context-0.5b-tools-sft](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools-sft) | 0 |
+| [sft-out](https://huggingface.co/Nanthasit/sft-out) | 0 |
+| [sakthai-context-0.5b-tools-sft-v2](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools-sft-v2) | 0 |
+
+---
+
+## Reproduce Evaluation
+
+If you want to verify the broken-state diagnosis locally, run the same llama.cpp probe used for this card:
+
+```bash
+# Convert the current merged weights to GGUF Q4_K_M
+python -m scripts.convert_hf_to_gguf --outfile sakthai-coder-browser-q4_k_m.gguf --quant-type Q4_K_M ./sakthai-coder-browser
+
+# 3-trial probe, 2 threads, CPU only
+for seed in 7 42 1337; do
+  ./llama-cli -m sakthai-coder-browser-q4_k_m.gguf \
+    -p "$(cat prompts/browser_tool_call.txt)" \
+    -n 256 --temp 0.3 -t 2 --seed $seed
+done
+```
+
+All 3 trials should return 0 output tokens if the weight corruption is still present.
+If they produce normal `<tool_call>` JSON blocks, the repo has been repaired.
+
+---
+
+## Reproduce Training / Merge
+
+The merged weights were produced by applying the LoRA adapter onto `Qwen/Qwen2.5-Coder-1.5B-Instruct`. To reproduce or repair:
+
+```bash
+git clone https://huggingface.co/Nanthasit/sakthai-coder-browser-lora adapter
+python -m peft.merge_and_unload \
+  --base_model Qwen/Qwen2.5-Coder-1.5B-Instruct \
+  --adapter adapter \
+  --output repaired-merged \
+  --safe
+```
+
+Important: zero-out attention-projection biases after merge if the base initializes them to zero:
+
+```python
+from transformers import AutoModelForCausalLM
+model = AutoModelForCausalLM.from_pretrained("repaired-merged", trust_remote_code=True)
+for name, param in model.named_parameters():
+    if "bias" in name and "attn" in name and "k_proj" in name:
+        param.data.zero_()
+```
+
+Run the eval probe again before publishing.
+
+---
+
+## Limitations
+
+- **BROKEN weights** — all 84 attention bias tensors are corrupted by a faulty LoRA merge (see [Evaluation & Status](#evaluation--status)); do not deploy until re-merged and re-verified
+- **No verified benchmark scores yet** — `model-index` currently carries 0% `tool_call_rate` and 0% `valid_json_rate` from the 2026-07-31 diagnostic probe; these are failure signals from corrupted weights, not representative task scores
+- **Text-only** — cannot see images or screenshots (use [sakthai-vision-7b](https://huggingface.co/Nanthasit/sakthai-vision-7b) for vision tasks)
+- **English-only web actions** — training data is primarily English web interactions; non-English pages may yield lower-quality actions
+- **Context-limited** — best results with page content <= 4K tokens per interaction; long pages can exceed the model's effective working memory
+- **Not servable on HF serverless inference** — no provider supports this custom fine-tune (router 404 verified); run locally via Transformers or the GGUF build once weights are repaired
+
+---
+
+## Citation
+
+If you use SakThai Coder Browser in your work, please cite the base model and the fine-tuning approach:
+
+```bibtex
+@misc{qwen25coder,
+    title = {Qwen2.5-Coder: Code Language Models},
+    author = {Qwen Team},
+    year = {2024},
+    publisher = {Hugging Face},
+    howpublished = {\url{https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct}}
+}
+
+@misc{sakthai-model-family,
+    title = {SakThai Model Family: Zero-Budget Fine-Tuned Language Models},
+    author = {{Beer Nanthasit}},
+    year = {2026},
+    publisher = {Hugging Face},
+    howpublished = {\url{https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02}}
+}
+```
+
+---
+
+*Part of the [SakThai Model Family](https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02). Built with love, tears, and zero budget. From a shelter in Cork, Ireland, to the world.*
--- 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": 28,
+  "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:aac4dbf4294a30a9f405b61a1bc3e3fbfd554a9d887e31b2816a9828f4255803
+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,
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}