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Model: Nanthasit/sakthai-plus-1.5b
Source: Original Platform

.eval_results/inference-check-20260730T231504Z.yaml

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+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"