rhundt/ qwen3-64k:30b

110 11 months ago

qwen3 with YaRN RoPE scaling to 64k context (factor 2)

tools 30b
... /
model
5407fd1fc8da · 19GB
    Metadata
  • general.architecture
    qwen3moe
  • general.file_type
    Q4_K_M
  • qwen3moe.attention.head_count
    32
  • qwen3moe.attention.head_count_kv
    4
  • qwen3moe.attention.key_length
    128
  • qwen3moe.attention.layer_norm_rms_epsilon
    1e-06
  • qwen3moe.attention.value_length
    128
  • qwen3moe.block_count
    48
  • qwen3moe.context_length
    40960
  • qwen3moe.embedding_length
    2048
  • qwen3moe.expert_count
    128
  • qwen3moe.expert_feed_forward_length
    768
  • qwen3moe.expert_used_count
    8
  • qwen3moe.feed_forward_length
    6144
  • qwen3moe.rope.freq_base
    1e+06
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.bos_token_id
    151643
  • tokenizer.ggml.eos_token_id
    151645
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    151643
  • tokenizer.ggml.pre
    qwen2
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
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