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[2025-07-03 22:13:35,256] INFO] Starting new model dissection session
[2025-07-03 22:13:35,256] INFO] ============================================================
[2025-07-03 22:13:35,256] INFO] Starting comprehensive analysis of HelpingAI/Dhanishtha-2.0-preview
[2025-07-03 22:13:35,256] INFO] Loading model and tokenizer: HelpingAI/Dhanishtha-2.0-preview
[2025-07-03 22:13:37,124] INFO] Loaded successfully
[2025-07-03 22:13:37,124] INFO] ===== MODEL CAPABILITIES DETECTION =====
[2025-07-03 22:13:51,356] INFO] SUPPORTS output_hidden_states
[2025-07-03 22:14:04,090] INFO] SUPPORTS output_attentions
[2025-07-03 22:14:16,786] INFO] SUPPORTS caching (past_key_values)
[2025-07-03 22:14:16,788] INFO] ===== MODEL CONFIGURATION =====
[2025-07-03 22:14:16,788] INFO] Model type: qwen3
[2025-07-03 22:14:16,788] INFO] Architecture: ['Qwen3ForCausalLM']
[2025-07-03 22:14:16,788] INFO] Hidden size: 5120
[2025-07-03 22:14:16,788] INFO] Layers: 40
[2025-07-03 22:14:16,788] INFO] Attention heads: 40
[2025-07-03 22:14:16,788] INFO] Key/Value heads: 8
[2025-07-03 22:14:16,788] INFO] Head dimension: 128
[2025-07-03 22:14:16,788] INFO] Max position embeddings: 40960
[2025-07-03 22:14:16,788] INFO] Vocabulary size: 151936
[2025-07-03 22:14:16,788] INFO] Intermediate size: 17408
[2025-07-03 22:14:16,788] INFO] RMS norm eps: 1e-06
[2025-07-03 22:14:16,788] INFO] Rope theta: 1000000
[2025-07-03 22:14:16,788] INFO] Rope scaling: None
[2025-07-03 22:14:16,788] INFO] Attention bias: False
[2025-07-03 22:14:16,788] INFO] Attention implementation: sdpa
[2025-07-03 22:14:16,789] INFO] Total params (approx): 14.77B
[2025-07-03 22:14:16,789] INFO] Trainable params (approx): 14.77B
[2025-07-03 22:14:16,789] INFO] Torch dtype: torch.bfloat16
[2025-07-03 22:14:16,789] INFO] Device: cpu
[2025-07-03 22:14:16,789] INFO] WARNING: Model uses SDPA (Scaled Dot-Product Attention) - attention weights not available
[2025-07-03 22:14:16,789] INFO] ===== ADDITIONAL CONFIG DETAILS =====
[2025-07-03 22:14:16,789] INFO] max_position_embeddings: 40960
[2025-07-03 22:14:16,789] INFO] intermediate_size: 17408
[2025-07-03 22:14:16,789] INFO] use_sliding_window: False
[2025-07-03 22:14:16,789] INFO] sliding_window: None
[2025-07-03 22:14:16,789] INFO] max_window_layers: 40
[2025-07-03 22:14:16,789] INFO] num_key_value_heads: 8
[2025-07-03 22:14:16,789] INFO] head_dim: 128
[2025-07-03 22:14:16,789] INFO] hidden_act: silu
[2025-07-03 22:14:16,789] INFO] initializer_range: 0.02
[2025-07-03 22:14:16,789] INFO] rms_norm_eps: 1e-06
[2025-07-03 22:14:16,789] INFO] use_cache: True
[2025-07-03 22:14:16,789] INFO] rope_theta: 1000000
[2025-07-03 22:14:16,789] INFO] rope_scaling: None
[2025-07-03 22:14:16,789] INFO] attention_bias: False
[2025-07-03 22:14:16,789] INFO] attention_dropout: 0.0
[2025-07-03 22:14:16,789] INFO] 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', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention']
[2025-07-03 22:14:16,789] INFO] return_dict: True
[2025-07-03 22:14:16,790] INFO] output_hidden_states: False
[2025-07-03 22:14:16,790] INFO] torchscript: False
[2025-07-03 22:14:16,790] INFO] torch_dtype: bfloat16
[2025-07-03 22:14:16,790] INFO] use_bfloat16: False
[2025-07-03 22:14:16,790] INFO] tf_legacy_loss: False
[2025-07-03 22:14:16,790] INFO] pruned_heads: {}
[2025-07-03 22:14:16,790] INFO] tie_word_embeddings: False
[2025-07-03 22:14:16,790] INFO] chunk_size_feed_forward: 0
[2025-07-03 22:14:16,790] INFO] is_encoder_decoder: False
[2025-07-03 22:14:16,790] INFO] is_decoder: False
[2025-07-03 22:14:16,790] INFO] cross_attention_hidden_size: None
[2025-07-03 22:14:16,790] INFO] add_cross_attention: False
[2025-07-03 22:14:16,790] INFO] tie_encoder_decoder: False
[2025-07-03 22:14:16,790] INFO] max_length: 20
[2025-07-03 22:14:16,790] INFO] min_length: 0
[2025-07-03 22:14:16,790] INFO] do_sample: False
[2025-07-03 22:14:16,790] INFO] early_stopping: False
[2025-07-03 22:14:16,790] INFO] num_beams: 1
[2025-07-03 22:14:16,790] INFO] num_beam_groups: 1
[2025-07-03 22:14:16,790] INFO] diversity_penalty: 0.0
[2025-07-03 22:14:16,790] INFO] temperature: 1.0
[2025-07-03 22:14:16,790] INFO] top_k: 50
[2025-07-03 22:14:16,790] INFO] top_p: 1.0
[2025-07-03 22:14:16,790] INFO] typical_p: 1.0
[2025-07-03 22:14:16,790] INFO] repetition_penalty: 1.0
[2025-07-03 22:14:16,790] INFO] length_penalty: 1.0
[2025-07-03 22:14:16,790] INFO] no_repeat_ngram_size: 0
[2025-07-03 22:14:16,790] INFO] encoder_no_repeat_ngram_size: 0
[2025-07-03 22:14:16,791] INFO] bad_words_ids: None
[2025-07-03 22:14:16,791] INFO] num_return_sequences: 1
[2025-07-03 22:14:16,791] INFO] output_scores: False
[2025-07-03 22:14:16,791] INFO] return_dict_in_generate: False
[2025-07-03 22:14:16,791] INFO] forced_bos_token_id: None
[2025-07-03 22:14:16,791] INFO] forced_eos_token_id: None
[2025-07-03 22:14:16,791] INFO] remove_invalid_values: False
[2025-07-03 22:14:16,791] INFO] exponential_decay_length_penalty: None
[2025-07-03 22:14:16,791] INFO] suppress_tokens: None
[2025-07-03 22:14:16,791] INFO] begin_suppress_tokens: None
[2025-07-03 22:14:16,791] INFO] architectures: ['Qwen3ForCausalLM']
[2025-07-03 22:14:16,791] INFO] finetuning_task: None
[2025-07-03 22:14:16,791] INFO] id2label: {0: 'LABEL_0', 1: 'LABEL_1'}
[2025-07-03 22:14:16,791] INFO] label2id: {'LABEL_0': 0, 'LABEL_1': 1}
[2025-07-03 22:14:16,791] INFO] tokenizer_class: None
[2025-07-03 22:14:16,791] INFO] prefix: None
[2025-07-03 22:14:16,791] INFO] bos_token_id: None
[2025-07-03 22:14:16,791] INFO] pad_token_id: 151654
[2025-07-03 22:14:16,791] INFO] eos_token_id: 151645
[2025-07-03 22:14:16,791] INFO] sep_token_id: None
[2025-07-03 22:14:16,791] INFO] decoder_start_token_id: None
[2025-07-03 22:14:16,791] INFO] task_specific_params: None
[2025-07-03 22:14:16,791] INFO] problem_type: None
[2025-07-03 22:14:16,791] INFO] _name_or_path: HelpingAI/Dhanishtha-2.0-preview
[2025-07-03 22:14:16,791] INFO] transformers_version: 4.53.0
[2025-07-03 22:14:16,791] INFO] unsloth_fixed: True
[2025-07-03 22:14:16,791] INFO] unsloth_version: 2025.6.1
[2025-07-03 22:14:16,791] INFO] output_attentions: False
[2025-07-03 22:14:16,791] INFO] ===== TOKENIZER ANALYSIS =====
[2025-07-03 22:14:16,792] INFO] Tokenizer type: Qwen2TokenizerFast
[2025-07-03 22:14:16,792] INFO] Vocabulary size: 151643
[2025-07-03 22:14:16,792] INFO] Model max length: 40960
[2025-07-03 22:14:16,792] INFO] Pad token: <|vision_pad|>
[2025-07-03 22:14:16,792] INFO] EOS token: <|im_end|>
[2025-07-03 22:14:16,792] INFO] BOS token: None
[2025-07-03 22:14:16,792] INFO] UNK token: None
[2025-07-03 22:14:16,792] INFO] Special tokens: ['<|im_end|>', '<|vision_pad|>', '<|im_start|>', '<|object_ref_start|>', '<|object_ref_end|>', '<|box_start|>', '<|box_end|>', '<|quad_start|>', '<|quad_end|>', '<|vision_start|>', '<|vision_end|>', '<|image_pad|>', '<|video_pad|>']
[2025-07-03 22:14:16,792] INFO] Test text: Hello world! How are you?
[2025-07-03 22:14:16,792] INFO] Tokens: ['Hello', 'Ġworld', '!', 'ĠHow', 'Ġare', 'Ġyou', '?']
[2025-07-03 22:14:16,792] INFO] Token IDs: [9707, 1879, 0, 2585, 525, 498, 30]
[2025-07-03 22:14:16,792] INFO] ===== DETAILED MODEL STRUCTURE =====
[2025-07-03 22:14:16,792] INFO] model → Qwen3ForCausalLM
[2025-07-03 22:14:16,793] INFO] └─ Parameters: 14,768,307,200 (14768.3M)
[2025-07-03 22:14:16,793] INFO] model → Qwen3Model
[2025-07-03 22:14:16,794] INFO] └─ Parameters: 13,990,394,880 (13990.4M)
[2025-07-03 22:14:16,794] INFO] embed_tokens → Embedding
[2025-07-03 22:14:16,794] INFO] └─ Parameters: 777,912,320 (777.9M)
[2025-07-03 22:14:16,794] INFO] └─ weight: [151936, 5120]
[2025-07-03 22:14:16,794] INFO] layers → ModuleList
[2025-07-03 22:14:16,795] INFO] └─ Parameters: 13,212,477,440 (13212.5M)
[2025-07-03 22:14:16,795] INFO] 0 → Qwen3DecoderLayer
[2025-07-03 22:14:16,795] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,795] INFO] 1 → Qwen3DecoderLayer
[2025-07-03 22:14:16,795] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,795] INFO] 2 → Qwen3DecoderLayer
[2025-07-03 22:14:16,795] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,795] INFO] 3 → Qwen3DecoderLayer
[2025-07-03 22:14:16,795] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,795] INFO] 4 → Qwen3DecoderLayer
[2025-07-03 22:14:16,795] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,795] INFO] 5 → Qwen3DecoderLayer
[2025-07-03 22:14:16,795] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 6 → Qwen3DecoderLayer
[2025-07-03 22:14:16,796] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 7 → Qwen3DecoderLayer
[2025-07-03 22:14:16,796] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 8 → Qwen3DecoderLayer
[2025-07-03 22:14:16,796] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 9 → Qwen3DecoderLayer
[2025-07-03 22:14:16,796] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 10 → Qwen3DecoderLayer
[2025-07-03 22:14:16,796] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 11 → Qwen3DecoderLayer
[2025-07-03 22:14:16,796] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 12 → Qwen3DecoderLayer
[2025-07-03 22:14:16,796] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 13 → Qwen3DecoderLayer
[2025-07-03 22:14:16,796] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,796] INFO] 14 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 15 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 16 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 17 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 18 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 19 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 20 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 21 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 22 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,797] INFO] 23 → Qwen3DecoderLayer
[2025-07-03 22:14:16,797] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 24 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 25 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 26 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 27 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 28 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 29 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 30 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 31 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,798] INFO] 32 → Qwen3DecoderLayer
[2025-07-03 22:14:16,798] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,799] INFO] 33 → Qwen3DecoderLayer
[2025-07-03 22:14:16,799] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,799] INFO] 34 → Qwen3DecoderLayer
[2025-07-03 22:14:16,799] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,799] INFO] 35 → Qwen3DecoderLayer
[2025-07-03 22:14:16,799] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,799] INFO] 36 → Qwen3DecoderLayer
[2025-07-03 22:14:16,799] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,799] INFO] 37 → Qwen3DecoderLayer
[2025-07-03 22:14:16,799] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,799] INFO] 38 → Qwen3DecoderLayer
[2025-07-03 22:14:16,799] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,799] INFO] 39 → Qwen3DecoderLayer
[2025-07-03 22:14:16,799] INFO] └─ Parameters: 330,311,936 (330.3M)
[2025-07-03 22:14:16,799] INFO] norm → Qwen3RMSNorm
[2025-07-03 22:14:16,799] INFO] └─ Parameters: 5,120 (0.0M)
[2025-07-03 22:14:16,799] INFO] └─ weight: [5120]
[2025-07-03 22:14:16,799] INFO] rotary_emb → Qwen3RotaryEmbedding
[2025-07-03 22:14:16,799] INFO] lm_head → Linear
[2025-07-03 22:14:16,800] INFO] └─ Parameters: 777,912,320 (777.9M)
[2025-07-03 22:14:16,800] INFO] └─ weight: [151936, 5120]
[2025-07-03 22:14:16,800] INFO] ===== TRANSFORMER LAYERS ANALYSIS =====
[2025-07-03 22:14:16,800] INFO] Found 40 transformer layers
[2025-07-03 22:14:16,800] INFO] --- Layer 0 ---
[2025-07-03 22:14:16,800] INFO] Layer type: Qwen3DecoderLayer
[2025-07-03 22:14:16,800] INFO] self_attn → Qwen3Attention (62,914,816 params)
[2025-07-03 22:14:16,800] INFO] └─ q_proj → Linear (26,214,400 params)
[2025-07-03 22:14:16,800] INFO] └─ k_proj → Linear (5,242,880 params)
[2025-07-03 22:14:16,800] INFO] └─ v_proj → Linear (5,242,880 params)
[2025-07-03 22:14:16,800] INFO] └─ o_proj → Linear (26,214,400 params)
[2025-07-03 22:14:16,800] INFO] └─ q_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:14:16,800] INFO] └─ k_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:14:16,800] INFO] mlp → Qwen3MLP (267,386,880 params)
[2025-07-03 22:14:16,800] INFO] input_layernorm → Qwen3RMSNorm (5,120 params)
[2025-07-03 22:14:16,800] INFO] post_attention_layernorm → Qwen3RMSNorm (5,120 params)
[2025-07-03 22:14:16,800] INFO] --- Layer 1 ---
[2025-07-03 22:14:16,800] INFO] Layer type: Qwen3DecoderLayer
[2025-07-03 22:14:16,800] INFO] self_attn → Qwen3Attention (62,914,816 params)
[2025-07-03 22:14:16,800] INFO] └─ q_proj → Linear (26,214,400 params)
[2025-07-03 22:14:16,801] INFO] └─ k_proj → Linear (5,242,880 params)
[2025-07-03 22:14:16,801] INFO] └─ v_proj → Linear (5,242,880 params)
[2025-07-03 22:14:16,801] INFO] └─ o_proj → Linear (26,214,400 params)
[2025-07-03 22:14:16,801] INFO] └─ q_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:14:16,801] INFO] └─ k_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:14:16,801] INFO] mlp → Qwen3MLP (267,386,880 params)
[2025-07-03 22:14:16,801] INFO] input_layernorm → Qwen3RMSNorm (5,120 params)
[2025-07-03 22:14:16,801] INFO] post_attention_layernorm → Qwen3RMSNorm (5,120 params)
[2025-07-03 22:14:16,801] INFO] --- Layer 2 ---
[2025-07-03 22:14:16,801] INFO] Layer type: Qwen3DecoderLayer
[2025-07-03 22:14:16,801] INFO] self_attn → Qwen3Attention (62,914,816 params)
[2025-07-03 22:14:16,801] INFO] └─ q_proj → Linear (26,214,400 params)
[2025-07-03 22:14:16,801] INFO] └─ k_proj → Linear (5,242,880 params)
[2025-07-03 22:14:16,801] INFO] └─ v_proj → Linear (5,242,880 params)
[2025-07-03 22:14:16,801] INFO] └─ o_proj → Linear (26,214,400 params)
[2025-07-03 22:14:16,801] INFO] └─ q_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:14:16,801] INFO] └─ k_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:14:16,801] INFO] mlp → Qwen3MLP (267,386,880 params)
[2025-07-03 22:14:16,801] INFO] input_layernorm → Qwen3RMSNorm (5,120 params)
[2025-07-03 22:14:16,801] INFO] post_attention_layernorm → Qwen3RMSNorm (5,120 params)
[2025-07-03 22:14:16,802] INFO] Forward pass prompt: "How many letters in 'Jeffrey'?"
[2025-07-03 22:15:07,472] INFO] Input shape: torch.Size([1, 8])
[2025-07-03 22:15:07,472] INFO] Logits shape: torch.Size([1, 8, 151936])
[2025-07-03 22:15:07,472] INFO] Hidden states count: 41
[2025-07-03 22:15:07,472] INFO] First hidden state shape: torch.Size([1, 8, 5120])
[2025-07-03 22:15:07,472] INFO] Last hidden state shape: torch.Size([1, 8, 5120])
[2025-07-03 22:15:07,472] INFO] Attention weights count: 40
[2025-07-03 22:15:07,473] INFO] Attention weights: Available but tensors are None (SDPA limitation)
[2025-07-03 22:15:07,478] INFO] Top 10 next token predictions:
[2025-07-03 22:15:07,481] INFO] 1. ' Jeffrey' (prob: 0.5430)
[2025-07-03 22:15:07,481] INFO] 2. ' Let' (prob: 0.0649)
[2025-07-03 22:15:07,482] INFO] 3. ' There' (prob: 0.0447)
[2025-07-03 22:15:07,482] INFO] 4. ' '' (prob: 0.0447)
[2025-07-03 22:15:07,482] INFO] 5. ' ' (prob: 0.0349)
[2025-07-03 22:15:07,482] INFO] 6. ' How' (prob: 0.0308)
[2025-07-03 22:15:07,482] INFO] 7. ' Also' (prob: 0.0271)
[2025-07-03 22:15:07,482] INFO] 8. '
' (prob: 0.0187)
[2025-07-03 22:15:07,482] INFO] 9. ' J' (prob: 0.0187)
[2025-07-03 22:15:07,482] INFO] 10. ' -' (prob: 0.0187)
[2025-07-03 22:15:07,482] INFO] ===== ATTENTION PATTERN INSPECTION =====
[2025-07-03 22:16:04,099] INFO] Number of attention layers: 40
[2025-07-03 22:16:04,099] INFO] All attention tensors are None - SDPA limitation detected
[2025-07-03 22:16:04,099] INFO] ===== ATTENTION MODULE STRUCTURE =====
[2025-07-03 22:16:04,100] INFO] Found 320 attention-related modules:
[2025-07-03 22:16:04,100] INFO] model.layers.0.self_attn → Qwen3Attention (62,914,816 params)
[2025-07-03 22:16:04,100] INFO] └─ q_proj → Linear (26,214,400 params)
[2025-07-03 22:16:04,100] INFO] └─ k_proj → Linear (5,242,880 params)
[2025-07-03 22:16:04,100] INFO] └─ v_proj → Linear (5,242,880 params)
[2025-07-03 22:16:04,100] INFO] └─ o_proj → Linear (26,214,400 params)
[2025-07-03 22:16:04,100] INFO] └─ q_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:16:04,100] INFO] └─ k_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:16:04,100] INFO] model.layers.0.self_attn.q_proj → Linear (26,214,400 params)
[2025-07-03 22:16:04,100] INFO] model.layers.0.self_attn.k_proj → Linear (5,242,880 params)
[2025-07-03 22:16:04,100] INFO] model.layers.0.self_attn.v_proj → Linear (5,242,880 params)
[2025-07-03 22:16:04,100] INFO] model.layers.0.self_attn.o_proj → Linear (26,214,400 params)
[2025-07-03 22:16:04,100] INFO] model.layers.0.self_attn.q_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:16:04,100] INFO] model.layers.0.self_attn.k_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:16:04,100] INFO] model.layers.0.post_attention_layernorm → Qwen3RMSNorm (5,120 params)
[2025-07-03 22:16:04,100] INFO] model.layers.1.self_attn → Qwen3Attention (62,914,816 params)
[2025-07-03 22:16:04,100] INFO] └─ q_proj → Linear (26,214,400 params)
[2025-07-03 22:16:04,101] INFO] └─ k_proj → Linear (5,242,880 params)
[2025-07-03 22:16:04,101] INFO] └─ v_proj → Linear (5,242,880 params)
[2025-07-03 22:16:04,101] INFO] └─ o_proj → Linear (26,214,400 params)
[2025-07-03 22:16:04,101] INFO] └─ q_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:16:04,101] INFO] └─ k_norm → Qwen3RMSNorm (128 params)
[2025-07-03 22:16:04,101] INFO] model.layers.1.self_attn.q_proj → Linear (26,214,400 params)
[2025-07-03 22:16:04,101] INFO] ===== WEIGHT ANALYSIS =====
[2025-07-03 22:16:49,449] INFO] --- EMBED_TOKENS WEIGHTS ---
[2025-07-03 22:16:49,449] INFO] model.embed_tokens.weight:
[2025-07-03 22:16:49,449] INFO] Shape: [151936, 5120]
[2025-07-03 22:16:49,449] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,449] INFO] Mean: 0.000004, Std: 0.018785
[2025-07-03 22:16:49,449] INFO] Range: [-0.867188, 1.015625]
[2025-07-03 22:16:49,449] INFO] Sparsity: 63505/777912320 (0.01%)
[2025-07-03 22:16:49,449] INFO] --- LM_HEAD WEIGHTS ---
[2025-07-03 22:16:49,450] INFO] lm_head.weight:
[2025-07-03 22:16:49,450] INFO] Shape: [151936, 5120]
[2025-07-03 22:16:49,450] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,450] INFO] Mean: -0.000028, Std: 0.020722
[2025-07-03 22:16:49,450] INFO] Range: [-0.298828, 0.244141]
[2025-07-03 22:16:49,450] INFO] Sparsity: 0/777912320 (0.00%)
[2025-07-03 22:16:49,450] INFO] --- Q_PROJ WEIGHTS ---
[2025-07-03 22:16:49,450] INFO] model.layers.0.self_attn.q_proj.weight:
[2025-07-03 22:16:49,450] INFO] Shape: [5120, 5120]
[2025-07-03 22:16:49,450] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,450] INFO] Mean: 0.000001, Std: 0.022518
[2025-07-03 22:16:49,450] INFO] Range: [-0.361328, 0.435547]
[2025-07-03 22:16:49,450] INFO] Sparsity: 0/26214400 (0.00%)
[2025-07-03 22:16:49,450] INFO] model.layers.1.self_attn.q_proj.weight:
[2025-07-03 22:16:49,450] INFO] Shape: [5120, 5120]
[2025-07-03 22:16:49,450] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,450] INFO] Mean: -0.000001, Std: 0.015804
[2025-07-03 22:16:49,450] INFO] Range: [-0.265625, 0.320312]
[2025-07-03 22:16:49,450] INFO] Sparsity: 0/26214400 (0.00%)
[2025-07-03 22:16:49,450] INFO] model.layers.2.self_attn.q_proj.weight:
[2025-07-03 22:16:49,450] INFO] Shape: [5120, 5120]
[2025-07-03 22:16:49,450] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,450] INFO] Mean: -0.000001, Std: 0.020871
[2025-07-03 22:16:49,450] INFO] Range: [-0.367188, 0.367188]
[2025-07-03 22:16:49,450] INFO] Sparsity: 0/26214400 (0.00%)
[2025-07-03 22:16:49,451] INFO] --- K_PROJ WEIGHTS ---
[2025-07-03 22:16:49,451] INFO] model.layers.0.self_attn.k_proj.weight:
[2025-07-03 22:16:49,451] INFO] Shape: [1024, 5120]
[2025-07-03 22:16:49,451] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,451] INFO] Mean: -0.000003, Std: 0.026230
[2025-07-03 22:16:49,451] INFO] Range: [-0.443359, 0.380859]
[2025-07-03 22:16:49,451] INFO] Sparsity: 0/5242880 (0.00%)
[2025-07-03 22:16:49,451] INFO] model.layers.1.self_attn.k_proj.weight:
[2025-07-03 22:16:49,451] INFO] Shape: [1024, 5120]
[2025-07-03 22:16:49,451] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,451] INFO] Mean: -0.000015, Std: 0.018266
[2025-07-03 22:16:49,451] INFO] Range: [-0.375000, 0.417969]
[2025-07-03 22:16:49,451] INFO] Sparsity: 0/5242880 (0.00%)
[2025-07-03 22:16:49,451] INFO] model.layers.2.self_attn.k_proj.weight:
[2025-07-03 22:16:49,451] INFO] Shape: [1024, 5120]
[2025-07-03 22:16:49,451] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,451] INFO] Mean: 0.000001, Std: 0.023495
[2025-07-03 22:16:49,451] INFO] Range: [-0.333984, 0.324219]
[2025-07-03 22:16:49,451] INFO] Sparsity: 0/5242880 (0.00%)
[2025-07-03 22:16:49,451] INFO] --- V_PROJ WEIGHTS ---
[2025-07-03 22:16:49,451] INFO] model.layers.0.self_attn.v_proj.weight:
[2025-07-03 22:16:49,451] INFO] Shape: [1024, 5120]
[2025-07-03 22:16:49,451] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,451] INFO] Mean: 0.000005, Std: 0.023605
[2025-07-03 22:16:49,451] INFO] Range: [-0.149414, 0.157227]
[2025-07-03 22:16:49,451] INFO] Sparsity: 0/5242880 (0.00%)
[2025-07-03 22:16:49,452] INFO] model.layers.1.self_attn.v_proj.weight:
[2025-07-03 22:16:49,452] INFO] Shape: [1024, 5120]
[2025-07-03 22:16:49,452] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,452] INFO] Mean: -0.000002, Std: 0.019842
[2025-07-03 22:16:49,452] INFO] Range: [-0.160156, 0.167969]
[2025-07-03 22:16:49,452] INFO] Sparsity: 0/5242880 (0.00%)
[2025-07-03 22:16:49,452] INFO] model.layers.2.self_attn.v_proj.weight:
[2025-07-03 22:16:49,452] INFO] Shape: [1024, 5120]
[2025-07-03 22:16:49,452] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,452] INFO] Mean: 0.000001, Std: 0.024808
[2025-07-03 22:16:49,452] INFO] Range: [-0.177734, 0.168945]
[2025-07-03 22:16:49,452] INFO] Sparsity: 0/5242880 (0.00%)
[2025-07-03 22:16:49,452] INFO] --- O_PROJ WEIGHTS ---
[2025-07-03 22:16:49,452] INFO] model.layers.0.self_attn.o_proj.weight:
[2025-07-03 22:16:49,452] INFO] Shape: [5120, 5120]
[2025-07-03 22:16:49,452] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,452] INFO] Mean: -0.000003, Std: 0.022377
[2025-07-03 22:16:49,452] INFO] Range: [-0.652344, 0.742188]
[2025-07-03 22:16:49,452] INFO] Sparsity: 0/26214400 (0.00%)
[2025-07-03 22:16:49,452] INFO] model.layers.1.self_attn.o_proj.weight:
[2025-07-03 22:16:49,452] INFO] Shape: [5120, 5120]
[2025-07-03 22:16:49,452] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,452] INFO] Mean: -0.000005, Std: 0.022021
[2025-07-03 22:16:49,452] INFO] Range: [-0.503906, 0.535156]
[2025-07-03 22:16:49,452] INFO] Sparsity: 0/26214400 (0.00%)
[2025-07-03 22:16:49,452] INFO] model.layers.2.self_attn.o_proj.weight:
[2025-07-03 22:16:49,452] INFO] Shape: [5120, 5120]
[2025-07-03 22:16:49,453] INFO] Data type: torch.bfloat16
[2025-07-03 22:16:49,453] INFO] Mean: 0.000001, Std: 0.023576
[2025-07-03 22:16:49,453] INFO] Range: [-0.554688, 0.496094]
[2025-07-03 22:16:49,453] INFO] Sparsity: 0/26214400 (0.00%)
[2025-07-03 22:16:49,643] INFO] ===== SAVING ANALYSIS RESULTS =====
[2025-07-03 22:16:49,648] INFO] Analysis saved to model_analysis.json
[2025-07-03 22:16:49,648] INFO] ============================================================
[2025-07-03 22:16:49,648] INFO] COMPREHENSIVE MODEL ANALYSIS SUMMARY
[2025-07-03 22:16:49,648] INFO] ============================================================
[2025-07-03 22:16:49,648] INFO] Model: HelpingAI/Dhanishtha-2.0-preview
[2025-07-03 22:16:49,648] INFO] Base Architecture: qwen3 (Qwen3ForCausalLM)
[2025-07-03 22:16:49,649] INFO] Parameters: 14.77B
[2025-07-03 22:16:49,649] INFO] Layers: 40
[2025-07-03 22:16:49,649] INFO] Hidden Size: 5120
[2025-07-03 22:16:49,649] INFO] Attention Heads: 40
[2025-07-03 22:16:49,649] INFO] Vocabulary Size: 151,936
[2025-07-03 22:16:49,649] INFO]
[2025-07-03 22:16:49,649] INFO] TECHNICAL SPECIFICATIONS:
[2025-07-03 22:16:49,649] INFO] • Data Type: torch.bfloat16
[2025-07-03 22:16:49,649] INFO] • Device: cpu
[2025-07-03 22:16:49,649] INFO] • Attention Implementation: sdpa
[2025-07-03 22:16:49,649] INFO] • Max Position Embeddings: 40960
[2025-07-03 22:16:49,649] INFO] • Intermediate Size: 17408
[2025-07-03 22:16:49,649] INFO] • RoPE Theta: 1000000
[2025-07-03 22:16:49,649] INFO]
[2025-07-03 22:16:49,649] INFO] MODEL CAPABILITIES:
[2025-07-03 22:16:49,649] INFO] • Output Hidden States: SUPPORTED
[2025-07-03 22:16:49,649] INFO] • Output Attentions: SUPPORTED
[2025-07-03 22:16:49,649] INFO] • Past Key Values: SUPPORTED
[2025-07-03 22:16:49,649] INFO] • Use Cache: SUPPORTED
[2025-07-03 22:16:49,649] INFO]
[2025-07-03 22:16:49,649] INFO] ARCHITECTURE SUMMARY:
[2025-07-03 22:16:49,650] INFO] • Linear: 281
[2025-07-03 22:16:49,650] INFO] • Qwen3RMSNorm: 161
[2025-07-03 22:16:49,650] INFO] • Qwen3DecoderLayer: 40
[2025-07-03 22:16:49,650] INFO] • Qwen3Attention: 40
[2025-07-03 22:16:49,650] INFO] • Qwen3MLP: 40
[2025-07-03 22:16:49,650] INFO] • SiLU: 40
[2025-07-03 22:16:49,650] INFO] • Qwen3ForCausalLM: 1
[2025-07-03 22:16:49,650] INFO] • Qwen3Model: 1
[2025-07-03 22:16:49,650] INFO] • Embedding: 1
[2025-07-03 22:16:49,650] INFO] • ModuleList: 1
[2025-07-03 22:16:49,650] INFO]
[2025-07-03 22:16:49,650] INFO] TOKENIZER INFORMATION:
[2025-07-03 22:16:49,650] INFO] • Type: Qwen2TokenizerFast
[2025-07-03 22:16:49,650] INFO] • Vocabulary Size: 151,643
[2025-07-03 22:16:49,650] INFO] • Model Max Length: 40960
[2025-07-03 22:16:49,650] INFO] • Special Tokens: 13
[2025-07-03 22:16:49,650] INFO]
[2025-07-03 22:16:49,650] INFO] OUTPUT FILES:
[2025-07-03 22:16:49,651] INFO] • model_analysis.json - Complete technical analysis
[2025-07-03 22:16:49,651] INFO] • HelpingAI_Dhanishtha-2.0-preview_dissection.log - Detailed execution log
[2025-07-03 22:16:49,651] INFO] ============================================================
[2025-07-03 22:16:49,651] INFO] ANALYSIS COMPLETE - Review the log files for details!
[2025-07-03 22:16:49,651] INFO] ============================================================
[2025-07-03 22:16:49,651] INFO] Comprehensive inspection complete.
[2025-07-03 22:16:49,651] INFO] Analysis saved to model_analysis.json
[2025-07-03 22:16:49,651] INFO] Detailed logs saved to HelpingAI_Dhanishtha-2.0-preview_dissection.log