This model was developed using Self-Play Preference Optimization at iteration 3, based on the google/gemma-2-9b-it architecture as starting point.

804 4 months ago

5b978f8fd46d · 7.6GB
    Metadata
  • gemma2.attention.head_count
    16
  • gemma2.attention.head_count_kv
    8
  • 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
    42
  • gemma2.context_length
    8192
  • gemma2.embedding_length
    3584
  • gemma2.feed_forward_length
    14336
  • gemma2.final_logit_softcapping
    30
  • general.architecture
    gemma2
  • general.datasets
    [openbmb/UltraFeedback]
  • general.file_type
    18
  • general.finetune
    ..
  • general.languages
    [en]
  • general.license
    apache-2.0
  • general.name
    ..
  • general.quantization_version
    2
  • general.size_label
    9.2B
  • general.tags
    [text-generation]
  • general.type
    model
  • quantize.imatrix.chunks_count
    128
  • quantize.imatrix.dataset
    /shared/opt/work_models/_imatrix/calibration_datav3.txt
  • quantize.imatrix.entries_count
    294
  • quantize.imatrix.file
    imatrix.dat
  • 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
    Shape
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  • blk.0.attn_norm.weight
    F32
    [3584]
  • blk.0.attn_output.weight
    Q6_K
    [4096, 3584]
  • blk.0.attn_q.weight
    Q6_K
    [3584, 4096]
  • blk.0.attn_v.weight
    Q6_K
    [3584, 2048]
  • blk.0.ffn_down.weight
    Q6_K
    [14336, 3584]
  • blk.0.ffn_gate.weight
    Q6_K
    [3584, 14336]
  • blk.0.ffn_norm.weight
    F32
    [3584]
  • blk.0.ffn_up.weight
    Q6_K
    [3584, 14336]
  • blk.0.post_attention_norm.weight
    F32
    [3584]
  • blk.0.post_ffw_norm.weight
    F32
    [3584]
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    Q6_K
    [3584, 2048]
  • blk.1.attn_norm.weight
    F32
    [3584]
  • blk.1.attn_output.weight
    Q6_K
    [4096, 3584]
  • blk.1.attn_q.weight
    Q6_K
    [3584, 4096]
  • blk.1.attn_v.weight
    Q6_K
    [3584, 2048]
  • blk.1.ffn_down.weight
    Q6_K
    [14336, 3584]
  • blk.1.ffn_gate.weight
    Q6_K
    [3584, 14336]
  • blk.1.ffn_norm.weight
    F32
    [3584]
  • blk.1.ffn_up.weight
    Q6_K
    [3584, 14336]
  • blk.1.post_attention_norm.weight
    F32
    [3584]
  • blk.1.post_ffw_norm.weight
    F32
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    Q6_K
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    F32
    [3584]
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    Q6_K
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    Q6_K
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  • blk.2.attn_v.weight
    Q6_K
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    Q6_K
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    Q6_K
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    F32
    [3584]
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    [3584]
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    Q6_K
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    F32
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    F32
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    F32
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    Q6_K
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    Q6_K
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    Q6_K
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    F32
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    Q6_K
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    F32
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    F32
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    F32
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    Q6_K
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    Q6_K
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    Q6_K
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    Q6_K
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  • blk.5.ffn_norm.weight
    F32
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    Q6_K
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    F32
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    F32
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    Q6_K
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    F32
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    Q6_K
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    Q6_K
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    Q6_K
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    Q6_K
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    Q6_K
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    F32
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    F32
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    F32
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    Q6_K
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