alibayram/
embeddingmagibu-152m:latest

2 2 days ago

Bu model, Türkçe odaklı uzun bağlam (2048 token) sentence embedding üretmek için eğitilmiş bir SentenceTransformer modelidir. 768 boyutlu normalize vektör uzayına projeksiyon yapar

embedding
... /
model
763e3d36858d · 306MB
    Metadata
  • general.architecture
    gemma-embedding
  • general.file_type
    F16
  • gemma-embedding.attention.head_count
    3
  • gemma-embedding.attention.head_count_kv
    1
  • gemma-embedding.attention.key_length
    256
  • gemma-embedding.attention.layer_norm_rms_epsilon
    1e-06
  • gemma-embedding.attention.sliding_window
    5
  • gemma-embedding.attention.value_length
    256
  • gemma-embedding.block_count
    24
  • gemma-embedding.context_length
    2048
  • gemma-embedding.embedding_length
    768
  • gemma-embedding.feed_forward_length
    1152
  • gemma-embedding.pooling_type
    Mean
  • gemma-embedding.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
    1
  • tokenizer.ggml.mask_token_id
    4
  • 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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