gemma4:12b-it-q4_K_M

11.9M 2 hours ago

Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.

vision tools thinking audio cloud e2b e4b 12b 26b 31b
... /
projector
675ad6e68101 · 175MB
    Metadata
  • general.architecture
    clip
  • general.file_type
    BF16
  • clip.audio.attention.head_count
    0
  • clip.audio.attention.layer_norm_epsilon
    1e-06
  • clip.audio.block_count
    0
  • clip.audio.embedding_length
    640
  • clip.audio.feed_forward_length
    0
  • clip.audio.num_mel_bins
    128
  • clip.audio.projection_dim
    3840
  • clip.audio.projector_type
    gemma4ua
  • clip.has_audio_encoder
    true
  • clip.has_vision_encoder
    true
  • clip.vision.attention.head_count
    0
  • clip.vision.attention.layer_norm_epsilon
    1e-06
  • clip.vision.block_count
    0
  • clip.vision.embedding_length
    3840
  • clip.vision.feed_forward_length
    0
  • clip.vision.image_mean
    [0, 0, 0]
  • clip.vision.image_size
    224
  • clip.vision.image_std
    [1, 1, 1]
  • clip.vision.patch_size
    16
  • clip.vision.projection_dim
    3840
  • clip.vision.projector_type
    gemma4uv
    • Tensor
  • mm.a.input_projection.weight
    BF16
    [640, 3840]
  • mm.input_projection.weight
    BF16
    [3840, 3840]
  • v.patch_embd.bias
    F32
    [3840]
  • v.patch_embd.weight
    F32
    [6912, 3840]
  • v.patch_norm.1.bias
    F32
    [6912]
  • v.patch_norm.1.weight
    F32
    [6912]
  • v.patch_norm.2.bias
    F32
    [3840]
  • v.patch_norm.2.weight
    F32
    [3840]
  • v.patch_norm.3.bias
    F32
    [3840]
  • v.patch_norm.3.weight
    F32
    [3840]
  • v.position_embd.weight
    F32
    [3840, 1120, 2]