michaelmontuori/ gemma-4-E4B-it-GGUF:UD-Q4_K_XL-128k

14 3 days ago

Initially built this E4B model to fit in my RTX 4060 with 8GB

vision tools thinking
... /
model
3cf61de12daa · 5.1GB
    Metadata
  • general.architecture
    gemma4
  • general.file_type
    Q4_K_M
  • gemma4.attention.head_count
    8
  • gemma4.attention.head_count_kv
    2
  • gemma4.attention.key_length
    512
  • gemma4.attention.key_length_swa
    256
  • gemma4.attention.layer_norm_rms_epsilon
    1e-06
  • gemma4.attention.shared_kv_layers
    18
  • gemma4.attention.sliding_window
    512
  • gemma4.attention.sliding_window_pattern
    [true, true, true, true, true, ...]
  • gemma4.attention.value_length
    512
  • gemma4.attention.value_length_swa
    256
  • gemma4.block_count
    42
  • gemma4.context_length
    131072
  • gemma4.embedding_length
    2560
  • gemma4.embedding_length_per_layer_input
    256
  • gemma4.feed_forward_length
    10240
  • gemma4.final_logit_softcapping
    30
  • gemma4.rope.dimension_count
    512
  • gemma4.rope.dimension_count_swa
    256
  • gemma4.rope.freq_base
    1e+06
  • gemma4.rope.freq_base_swa
    10000
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    2
  • tokenizer.ggml.eos_token_id
    106
  • tokenizer.ggml.mask_token_id
    4
  • tokenizer.ggml.merges
    [ , ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁, , , ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁, ...]
  • tokenizer.ggml.model
    gemma4
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.scores
    [-1000, -1000, -1000, -1000, -1000, ...]
  • tokenizer.ggml.token_type
    [3, 1, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<pad>, <eos>, <bos>, <unk>, <mask>, ...]
  • tokenizer.ggml.unknown_token_id
    3
  • quantize.imatrix.chunks_count
    141
  • quantize.imatrix.dataset
    unsloth_calibration_gemma-4-E4B-it.txt
  • quantize.imatrix.entries_count
    342
  • quantize.imatrix.file
    gemma-4-E4B-it-GGUF/imatrix_unsloth.gguf
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