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

.eval_results/inference-check-20260731T002943.yaml

@@ -0,0 +1,51 @@
+eval_type: inference-check
+model: Nanthasit/sakthai-plus-1.5b
+timestamp: 2026-07-31T00:29:43Z
+results:
+  - method: curl POST to api-inference.huggingface.co
+    status: dns_unreachable
+    detail: "api-inference.huggingface.co does not resolve in sandbox DNS (gaierror -5)"
+    http_status: null
+    response_time_sec: null
+    output: null
+
+  - method: InferenceClient with provider='auto'
+    status: no_provider_mapping
+    detail: "Model has empty inference_provider_mapping; StopIteration in provider selection"
+    http_status: null
+    response_time_sec: 0.134
+    output: null
+
+  - method: InferenceClient with provider='hf-inference'
+    status: model_not_supported
+    detail: "BadRequestError: Model not supported by provider hf-inference"
+    http_status: 400
+    response_time_sec: 0.265
+    output: '{"error":"Model not supported by provider hf-inference"}'
+
+  - method: router.huggingface.co/v1/chat/completions
+    status: model_not_supported
+    detail: "Model not supported by any enabled provider"
+    http_status: 400
+    response_time_sec: 0.148
+    output: '{"error":{"message":"The requested model is not supported by any provider you have enabled.","code":"model_not_supported"}}'
+
+  - method: local transformers inference
+    status: oom
+    detail: "OOM (exit 137) — sandbox has 7.8GB RAM, 712MB free; 1.5B model requires ~3GB (fp16) or ~6GB (fp32)"
+    http_status: null
+    response_time_sec: null
+    output: null
+
+summary:
+  accessible: false
+  root_cause: |
+    The old inference API (api-inference.huggingface.co) is fully deprecated and has no DNS records.
+    The new Inference Providers router rejects the model because no provider has it in their catalog.
+    Local inference impossible due to memory constraints (712MB free).
+  recommendation: |
+    To get this model serving inference, either:
+    a) Enable serverless inference for the model on HF Hub (Settings → Inference), which makes
+       hf-inference provider load it on-demand.
+    b) Deploy a dedicated Inference Endpoint ($$ — not compatible with Zero-Cost First principle).
+    c) Convert to GGUF and run via llama.cpp on a machine with ≥4GB RAM.