check:
  timestamp: 20260730T231504Z
  model: Nanthasit/sakthai-plus-1.5b
  method: HF Inference API (router.huggingface.co)
  endpoint: https://router.huggingface.co/hf-inference/models/Nanthasit/sakthai-plus-1.5b
results:
  status: not_available
  http_code: 400
  response_time_seconds: 0.13
  error: "Model not supported by provider hf-inference"
  details: "The model is a Qwen2.5-1.5B based transformer (BF16 safetensors, 2.9GB) not deployed on any HF Inference provider. Serverless inference does not serve this model."
alternative_attempts:
  - method: "huggingface_hub InferenceClient.chat_completion"
    status: "model_not_supported"
    error: "The requested model 'Nanthasit/sakthai-plus-1.5b' is not supported by any provider you have enabled."
  - method: "Local transformers (BF16, full precision)"
    status: "OOM (exit 137)"
    detail: "Environment has 7.8GB RAM total, 1.4GB available. Model requires ~3GB+ for weights."
  - method: "Local transformers (4-bit quantization)"
    status: "OOM (exit 137)"
    detail: "Even 4-bit quantization failed due to insufficient memory."
recommendations:
  - "Convert model to GGUF format for llama.cpp inference (much lower memory footprint)"
  - "Deploy on HF Inference Endpoints (requires paid GPU)"
  - "Run on a machine with ≥8GB free RAM for CPU inference"
  - "Enable the model for serverless inference via HF provider onboarding"