alibayram/
gemma3n:latest

5 2 months ago

Sağlık alanında uzmanlaşmış büyük bir dil modelidir. Bu model, hasta sorularına daha doğru ve etkili yanıtlar vermek üzere tasarlanmış ve eğitilmiştir.

... /
model
5c17c7e9d2e3 · 7.3GB
    Metadata
  • general.architecture
    gemma3n
  • general.file_type
    Q8_0
  • gemma3n.activation_sparsity_scale
    [1.6448536, 1.6448536, 1.6448536, 1.6448536, 1.6448536, ...]
  • gemma3n.altup.active_idx
    0
  • gemma3n.altup.num_inputs
    4
  • gemma3n.attention.head_count
    8
  • gemma3n.attention.head_count_kv
    2
  • gemma3n.attention.key_length
    256
  • gemma3n.attention.layer_norm_rms_epsilon
    1e-06
  • gemma3n.attention.shared_kv_layers
    15
  • gemma3n.attention.sliding_window
    512
  • gemma3n.attention.sliding_window_pattern
    [true, true, true, true, false, ...]
  • gemma3n.attention.value_length
    256
  • gemma3n.block_count
    35
  • gemma3n.context_length
    32768
  • gemma3n.embedding_length
    2048
  • gemma3n.embedding_length_per_layer_input
    256
  • gemma3n.feed_forward_length
    [16384, 16384, 16384, 16384, 16384, ...]
  • gemma3n.rope.freq_base
    1e+06
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_sep_token
    false
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    2
  • tokenizer.ggml.eos_token_id
    106
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [-1000, -1000, -1000, -1000, -1000, ...]
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<pad>, <eos>, <bos>, <unk>, <mask>, ...]
  • tokenizer.ggml.unknown_token_id
    3
    • Tensor
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  • altup_proj.weight
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  • altup_unembd_proj.weight
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    F32
    [4, 4]
  • blk.0.altup_correct_scale.weight
    F32
    [2048]
  • blk.0.altup_predict_coef.weight
    F32
    [4, 16]
  • blk.0.altup_router.weight
    Q8_0
    [2048, 4]
  • blk.0.altup_router_norm.weight
    F32
    [2048]
  • blk.0.attn_k.weight
    Q8_0
    [2048, 512]
  • blk.0.attn_k_norm.weight
    F32
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  • blk.0.attn_norm.weight
    F32
    [2048]
  • blk.0.attn_output.weight
    Q8_0
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  • blk.0.attn_q.weight
    Q8_0
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  • blk.0.attn_q_norm.weight
    F32
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  • blk.0.attn_v.weight
    Q8_0
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  • blk.0.ffn_down.weight
    Q8_0
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  • blk.0.ffn_gate.weight
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  • blk.0.ffn_norm.weight
    F32
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  • blk.0.ffn_up.weight
    Q8_0
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  • blk.0.inp_gate.weight
    Q8_0
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  • blk.0.laurel_l.weight
    Q8_0
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  • blk.0.laurel_post_norm.weight
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    • blk.1
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    F32
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    F32
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    F32
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    F32
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