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Model: Nanthasit/sakthai-coder-browser
Source: Original Platform

.eval_results/benchmark-20260731_052122.yaml

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+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.