mannix / llava-phi3

A new small LLaVA model fine-tuned from Phi 3 Mini [I-Quants]

vision

1,798 5 months ago

4 Tags
... /
model
ce2375a6e537 · 1.5GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    23
  • general.name
    LLaMA v2
  • general.quantization_version
    2
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    32
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    4096
  • llama.embedding_length
    3072
  • llama.feed_forward_length
    8192
  • llama.rope.dimension_count
    96
  • llama.rope.freq_base
    10000
  • llama.vocab_size
    32064
  • quantize.imatrix.chunks_count
    200
  • quantize.imatrix.dataset
    j:\\work_models\\imatrix\\groups_merged.txt
  • quantize.imatrix.entries_count
    224
  • quantize.imatrix.file
    imatrix.dat
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    32000
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    32000
  • tokenizer.ggml.scores
    [0, 0, 0, 0, 0, ...]
  • tokenizer.ggml.token_type
    [2, 3, 3, 6, 6, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, <0x00>, <0x01>, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • Name
    Type
    Shape
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    (!unknown_type 22!)
    [3072, 3072]
  • blk.26.attn_v.weight
    I32
    [3072, 3072]
  • blk.26.ffn_down.weight
    I32
    [8192, 3072]
  • blk.26.ffn_gate.weight
    I32
    [3072, 8192]
  • blk.26.ffn_norm.weight
    F32
    [3072]
  • blk.26.ffn_up.weight
    I32
    [3072, 8192]
    • blk.27
  • blk.27.attn_k.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.27.attn_norm.weight
    F32
    [3072]
  • blk.27.attn_output.weight
    (!unknown_type 21!)
    [3072, 3072]
  • blk.27.attn_q.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.27.attn_v.weight
    I32
    [3072, 3072]
  • blk.27.ffn_down.weight
    I32
    [8192, 3072]
  • blk.27.ffn_gate.weight
    I32
    [3072, 8192]
  • blk.27.ffn_norm.weight
    F32
    [3072]
  • blk.27.ffn_up.weight
    I32
    [3072, 8192]
    • blk.28
  • blk.28.attn_k.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.28.attn_norm.weight
    F32
    [3072]
  • blk.28.attn_output.weight
    (!unknown_type 21!)
    [3072, 3072]
  • blk.28.attn_q.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.28.attn_v.weight
    I32
    [3072, 3072]
  • blk.28.ffn_down.weight
    I32
    [8192, 3072]
  • blk.28.ffn_gate.weight
    I32
    [3072, 8192]
  • blk.28.ffn_norm.weight
    F32
    [3072]
  • blk.28.ffn_up.weight
    I32
    [3072, 8192]
    • blk.29
  • blk.29.attn_k.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.29.attn_norm.weight
    F32
    [3072]
  • blk.29.attn_output.weight
    (!unknown_type 21!)
    [3072, 3072]
  • blk.29.attn_q.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.29.attn_v.weight
    I32
    [3072, 3072]
  • blk.29.ffn_down.weight
    I32
    [8192, 3072]
  • blk.29.ffn_gate.weight
    I32
    [3072, 8192]
  • blk.29.ffn_norm.weight
    F32
    [3072]
  • blk.29.ffn_up.weight
    I32
    [3072, 8192]
    • blk.30
  • blk.30.attn_k.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.30.attn_norm.weight
    F32
    [3072]
  • blk.30.attn_output.weight
    (!unknown_type 21!)
    [3072, 3072]
  • blk.30.attn_q.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.30.attn_v.weight
    I32
    [3072, 3072]
  • blk.30.ffn_down.weight
    I32
    [8192, 3072]
  • blk.30.ffn_gate.weight
    I32
    [3072, 8192]
  • blk.30.ffn_norm.weight
    F32
    [3072]
  • blk.30.ffn_up.weight
    I32
    [3072, 8192]
    • blk.31
  • blk.31.attn_k.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.31.attn_norm.weight
    F32
    [3072]
  • blk.31.attn_output.weight
    (!unknown_type 21!)
    [3072, 3072]
  • blk.31.attn_q.weight
    (!unknown_type 22!)
    [3072, 3072]
  • blk.31.attn_v.weight
    I32
    [3072, 3072]
  • blk.31.ffn_down.weight
    I32
    [8192, 3072]
  • blk.31.ffn_gate.weight
    I32
    [3072, 8192]
  • blk.31.ffn_norm.weight
    F32
    [3072]
  • blk.31.ffn_up.weight
    I32
    [3072, 8192]
  • output.weight
    Q5_K
    [3072, 32064]
  • output_norm.weight
    F32
    [3072]