llama3.2-vision

Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.

vision 11b 90b

7,301 9 hours ago

9 Tags
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model
da63a910e349 · 53GB
    Metadata
  • general.architecture
    mllama
  • general.file_type
    15
  • general.name
    Model
  • general.quantization_version
    2
  • general.size_label
    88B
  • general.type
    model
  • mllama.attention.cross_attention_layers
    [3, 8, 13, 18, 23, ...]
  • mllama.attention.head_count
    64
  • mllama.attention.head_count_kv
    8
  • mllama.attention.layer_norm_rms_epsilon
    1e-05
  • mllama.block_count
    100
  • mllama.context_length
    131072
  • mllama.embedding_length
    8192
  • mllama.feed_forward_length
    28672
  • mllama.rope.dimension_count
    128
  • mllama.rope.freq_base
    500000
  • mllama.vocab_size
    128256
  • tokenizer.ggml.add_bos_token
    true
  • 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
    128004
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
  • Name
    Type
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    Q4_K
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  • blk.0.attn_norm.weight
    F32
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    Q4_K
    [8192, 8192]
  • blk.0.attn_q.weight
    Q4_K
    [8192, 8192]
  • blk.0.attn_v.weight
    Q6_K
    [8192, 1024]
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    Q6_K
    [28672, 8192]
  • blk.0.ffn_gate.weight
    Q4_K
    [8192, 28672]
  • blk.0.ffn_norm.weight
    F32
    [8192]
  • blk.0.ffn_up.weight
    Q4_K
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    Q4_K
    [8192, 1024]
  • blk.1.attn_norm.weight
    F32
    [8192]
  • blk.1.attn_output.weight
    Q4_K
    [8192, 8192]
  • blk.1.attn_q.weight
    Q4_K
    [8192, 8192]
  • blk.1.attn_v.weight
    Q6_K
    [8192, 1024]
  • blk.1.ffn_down.weight
    Q6_K
    [28672, 8192]
  • blk.1.ffn_gate.weight
    Q4_K
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  • blk.1.ffn_norm.weight
    F32
    [8192]
  • blk.1.ffn_up.weight
    Q4_K
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    Q4_K
    [8192, 1024]
  • blk.2.attn_norm.weight
    F32
    [8192]
  • blk.2.attn_output.weight
    Q4_K
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  • blk.2.attn_q.weight
    Q4_K
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  • blk.2.attn_v.weight
    Q6_K
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    Q6_K
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  • blk.2.ffn_gate.weight
    Q4_K
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  • blk.2.ffn_norm.weight
    F32
    [8192]
  • blk.2.ffn_up.weight
    Q4_K
    [8192, 28672]
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    F32
    [8192]
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    F32
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    Q6_K
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    Q4_K
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    F32
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    F32
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    Q4_K
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    Q4_K
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  • blk.4.attn_v.weight
    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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    F32
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    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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    Q4_K
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    Q6_K
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    F32
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    Q4_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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    Q6_K
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    Q4_K
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    F32
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    Q4_K
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    F32
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    Q6_K
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    Q6_K
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    Q4_K
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  • blk.9.ffn_norm.weight
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    F32
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