Rebuilt Qwen3.5 — qwen3_5-full-attn-only

Note: This model was assembled with qwen3_5-rebuild. Embedding and output projection weights are copied from the source model. Transformer blocks are freshly initialized (random, std=0.02). The model requires fine-tuning before it can generate coherent text.

Source model

Architecture

Parameter budget

embed_tokens represents 49.7% of total parameters. It is the dominant component — 254M params encode 248,320 token embeddings × 1024 dims.

Layer-by-layer breakdown

Layer type sequence

   0: full_attention
   1: full_attention
   2: full_attention
   3: full_attention
   4: full_attention
   5: full_attention
   6: full_attention
   7: full_attention
   8: full_attention
   9: full_attention
  10: full_attention
  11: full_attention
  12: full_attention
  13: full_attention

Initialization

• Embeddings: copied as-is from KaniTTS-research-team/qwen-3.5-prepare-0.6b
• Transformer blocks: random init, std=0.02
• dtype: bfloat16
• Seed: 42