mannix / llama3-sppo-iter3

Meta Llama-3-8b with Self-Play Preference Optimization for Language Model Alignment at iteration 3

187 5 months ago

21 Tags
... /
model
5862a8175edc · 3.3GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    23
  • general.name
    ..
  • general.quantization_version
    2
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    8192
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    14336
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128256
  • quantize.imatrix.chunks_count
    124
  • quantize.imatrix.dataset
    /shared/opt/work_models/_imatrix/calibration_datav3.txt
  • quantize.imatrix.entries_count
    224
  • quantize.imatrix.file
    imatrix.dat
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128009
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128009
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
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    Q4_K
    [4096, 1024]
  • blk.26.ffn_down.weight
    I32
    [14336, 4096]
  • blk.26.ffn_gate.weight
    I32
    [4096, 14336]
  • blk.26.ffn_norm.weight
    F32
    [4096]
  • blk.26.ffn_up.weight
    I32
    [4096, 14336]
    • blk.27
  • blk.27.attn_k.weight
    (!unknown_type 22!)
    [4096, 1024]
  • blk.27.attn_norm.weight
    F32
    [4096]
  • blk.27.attn_output.weight
    (!unknown_type 21!)
    [4096, 4096]
  • blk.27.attn_q.weight
    (!unknown_type 22!)
    [4096, 4096]
  • blk.27.attn_v.weight
    Q4_K
    [4096, 1024]
  • blk.27.ffn_down.weight
    I32
    [14336, 4096]
  • blk.27.ffn_gate.weight
    I32
    [4096, 14336]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    I32
    [4096, 14336]
    • blk.28
  • blk.28.attn_k.weight
    (!unknown_type 22!)
    [4096, 1024]
  • blk.28.attn_norm.weight
    F32
    [4096]
  • blk.28.attn_output.weight
    (!unknown_type 21!)
    [4096, 4096]
  • blk.28.attn_q.weight
    (!unknown_type 22!)
    [4096, 4096]
  • blk.28.attn_v.weight
    Q4_K
    [4096, 1024]
  • blk.28.ffn_down.weight
    I32
    [14336, 4096]
  • blk.28.ffn_gate.weight
    I32
    [4096, 14336]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    I32
    [4096, 14336]
    • blk.29
  • blk.29.attn_k.weight
    (!unknown_type 22!)
    [4096, 1024]
  • blk.29.attn_norm.weight
    F32
    [4096]
  • blk.29.attn_output.weight
    (!unknown_type 21!)
    [4096, 4096]
  • blk.29.attn_q.weight
    (!unknown_type 22!)
    [4096, 4096]
  • blk.29.attn_v.weight
    Q4_K
    [4096, 1024]
  • blk.29.ffn_down.weight
    I32
    [14336, 4096]
  • blk.29.ffn_gate.weight
    I32
    [4096, 14336]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    I32
    [4096, 14336]
    • blk.30
  • blk.30.attn_k.weight
    (!unknown_type 22!)
    [4096, 1024]
  • blk.30.attn_norm.weight
    F32
    [4096]
  • blk.30.attn_output.weight
    (!unknown_type 21!)
    [4096, 4096]
  • blk.30.attn_q.weight
    (!unknown_type 22!)
    [4096, 4096]
  • blk.30.attn_v.weight
    Q4_K
    [4096, 1024]
  • blk.30.ffn_down.weight
    I32
    [14336, 4096]
  • blk.30.ffn_gate.weight
    I32
    [4096, 14336]
  • blk.30.ffn_norm.weight
    F32
    [4096]
  • blk.30.ffn_up.weight
    I32
    [4096, 14336]
    • blk.31
  • blk.31.attn_k.weight
    (!unknown_type 22!)
    [4096, 1024]
  • blk.31.attn_norm.weight
    F32
    [4096]
  • blk.31.attn_output.weight
    (!unknown_type 21!)
    [4096, 4096]
  • blk.31.attn_q.weight
    (!unknown_type 22!)
    [4096, 4096]
  • blk.31.attn_v.weight
    Q4_K
    [4096, 1024]
  • blk.31.ffn_down.weight
    I32
    [14336, 4096]
  • blk.31.ffn_gate.weight
    I32
    [4096, 14336]
  • blk.31.ffn_norm.weight
    F32
    [4096]
  • blk.31.ffn_up.weight
    I32
    [4096, 14336]
  • output.weight
    Q5_K
    [4096, 128256]
  • output_norm.weight
    F32
    [4096]