youtu/ youtu-vl:latest

133 1 month ago

Youtu-VL: a lightweight 4B VLM built on Youtu-LLM, pioneering VLUAS to improve visual perception and multimodal understanding.Not yet runnable. Requires Ollama with the latest llama.cpp changes integrated.

vision
... /
model
417f0d697a9a · 5.2GB
    Metadata
  • general.architecture
    deepseek2
  • general.file_type
    Q8_0
  • deepseek2.attention.head_count
    32
  • deepseek2.attention.head_count_kv
    1
  • deepseek2.attention.key_length
    576
  • deepseek2.attention.key_length_mla
    192
  • deepseek2.attention.kv_lora_rank
    512
  • deepseek2.attention.layer_norm_rms_epsilon
    1e-06
  • deepseek2.attention.q_lora_rank
    1536
  • deepseek2.attention.value_length
    512
  • deepseek2.attention.value_length_mla
    128
  • deepseek2.block_count
    40
  • deepseek2.context_length
    32768
  • deepseek2.embedding_length
    2560
  • deepseek2.expert_feed_forward_length
    9728
  • deepseek2.expert_shared_count
    0
  • deepseek2.feed_forward_length
    9728
  • deepseek2.leading_dense_block_count
    40
  • deepseek2.rope.dimension_count
    64
  • deepseek2.rope.freq_base
    500000
  • deepseek2.vocab_size
    283386
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128001
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, e r, Ġ t, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128001
  • tokenizer.ggml.pre
    youtu
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
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    [2560]
  • blk.36.ffn_up.weight
    Q8_0
    [2560, 9728]
    • blk.37
  • blk.37.attn_k_b.weight
    Q8_0
    [128, 512, 32]
  • blk.37.attn_kv_a_mqa.weight
    Q8_0
    [2560, 576]
  • blk.37.attn_kv_a_norm.weight
    F32
    [512]
  • blk.37.attn_norm.weight
    F32
    [2560]
  • blk.37.attn_output.weight
    Q8_0
    [4096, 2560]
  • blk.37.attn_q_a.weight
    Q8_0
    [2560, 1536]
  • blk.37.attn_q_a_norm.weight
    F32
    [1536]
  • blk.37.attn_q_b.weight
    Q8_0
    [1536, 6144]
  • blk.37.attn_v_b.weight
    Q8_0
    [512, 128, 32]
  • blk.37.ffn_down.weight
    Q8_0
    [9728, 2560]
  • blk.37.ffn_gate.weight
    Q8_0
    [2560, 9728]
  • blk.37.ffn_norm.weight
    F32
    [2560]
  • blk.37.ffn_up.weight
    Q8_0
    [2560, 9728]
    • blk.38
  • blk.38.attn_k_b.weight
    Q8_0
    [128, 512, 32]
  • blk.38.attn_kv_a_mqa.weight
    Q8_0
    [2560, 576]
  • blk.38.attn_kv_a_norm.weight
    F32
    [512]
  • blk.38.attn_norm.weight
    F32
    [2560]
  • blk.38.attn_output.weight
    Q8_0
    [4096, 2560]
  • blk.38.attn_q_a.weight
    Q8_0
    [2560, 1536]
  • blk.38.attn_q_a_norm.weight
    F32
    [1536]
  • blk.38.attn_q_b.weight
    Q8_0
    [1536, 6144]
  • blk.38.attn_v_b.weight
    Q8_0
    [512, 128, 32]
  • blk.38.ffn_down.weight
    Q8_0
    [9728, 2560]
  • blk.38.ffn_gate.weight
    Q8_0
    [2560, 9728]
  • blk.38.ffn_norm.weight
    F32
    [2560]
  • blk.38.ffn_up.weight
    Q8_0
    [2560, 9728]
    • blk.39
  • blk.39.attn_k_b.weight
    Q8_0
    [128, 512, 32]
  • blk.39.attn_kv_a_mqa.weight
    Q8_0
    [2560, 576]
  • blk.39.attn_kv_a_norm.weight
    F32
    [512]
  • blk.39.attn_norm.weight
    F32
    [2560]
  • blk.39.attn_output.weight
    Q8_0
    [4096, 2560]
  • blk.39.attn_q_a.weight
    Q8_0
    [2560, 1536]
  • blk.39.attn_q_a_norm.weight
    F32
    [1536]
  • blk.39.attn_q_b.weight
    Q8_0
    [1536, 6144]
  • blk.39.attn_v_b.weight
    Q8_0
    [512, 128, 32]
  • blk.39.ffn_down.weight
    Q8_0
    [9728, 2560]
  • blk.39.ffn_gate.weight
    Q8_0
    [2560, 9728]
  • blk.39.ffn_norm.weight
    F32
    [2560]
  • blk.39.ffn_up.weight
    Q8_0
    [2560, 9728]
  • output_norm.weight
    F32
    [2560]