seandearnaley / gemma-2-sentiment_analysis_with_reasoning

Light weight sentiment analysis for financial articles

39 3 months ago

5 Tags
... /
model
a0b9c53bac23 · 1.7GB
    Metadata
  • gemma2.attention.head_count
    8
  • gemma2.attention.head_count_kv
    4
  • gemma2.attention.key_length
    256
  • gemma2.attention.layer_norm_rms_epsilon
    1e-06
  • gemma2.attention.sliding_window
    4096
  • gemma2.attention.value_length
    256
  • gemma2.attn_logit_softcapping
    50
  • gemma2.block_count
    26
  • gemma2.context_length
    8192
  • gemma2.embedding_length
    2304
  • gemma2.feed_forward_length
    9216
  • gemma2.final_logit_softcapping
    30
  • general.architecture
    gemma2
  • general.basename
    gemma-2
  • general.file_type
    15
  • general.finetune
    4k-july30-short-sentiment-analysis-july-epoch
  • general.name
    Gemma 2 2b
  • general.organization
    Unsloth
  • general.quantization_version
    2
  • general.size_label
    2B
  • general.type
    model
  • general.version
    31-2024-1
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    2
  • tokenizer.ggml.eos_token_id
    1
  • 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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    Type
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    Q6_K
    [9216, 2304]
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    Q4_K
    [2304, 9216]
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    F32
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  • blk.0.ffn_up.weight
    Q4_K
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    Q4_K
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    Q6_K
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    Q6_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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