numind/ nuextract3:Q4_K_M

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NuExtract3 is a 4B vision-language reasoning model by NuMind for local document understanding. Turn text and document images into structured JSON or clean Markdown with Ollama, with support for multilingual documents, OCR, and template generation.

vision tools thinking
... /
model
123abacbcec4 · 2.7GB
    Metadata
  • general.architecture
    qwen35
  • general.file_type
    Q4_K_M
  • qwen35.attention.head_count
    16
  • qwen35.attention.head_count_kv
    4
  • qwen35.attention.key_length
    256
  • qwen35.attention.layer_norm_rms_epsilon
    1e-06
  • qwen35.attention.value_length
    256
  • qwen35.block_count
    32
  • qwen35.context_length
    262144
  • qwen35.embedding_length
    2560
  • qwen35.feed_forward_length
    9216
  • qwen35.full_attention_interval
    4
  • qwen35.rope.dimension_count
    64
  • qwen35.rope.dimension_sections
    [11, 11, 10, 0]
  • qwen35.rope.freq_base
    1e+07
  • qwen35.ssm.conv_kernel
    4
  • qwen35.ssm.group_count
    16
  • qwen35.ssm.inner_size
    4096
  • qwen35.ssm.state_size
    128
  • qwen35.ssm.time_step_rank
    32
  • tokenizer.ggml.eos_token_id
    248046
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    248044
  • tokenizer.ggml.pre
    qwen35
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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