leeplenty/ lumimaid-v0.2:latest

6,414 1 year ago

NFSW - Quite a lewd model based on either the Llama 3.1 instruct model or the Mistral (Nemo) instruct model. Created by Neversleep. The 8B, 12B, 70B and 123B versions are available.

tools 8b 12b 70b 123b
... /
model
1b2a4e1e8fc3 · 8.5GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    Q8_0
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    131072
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    14336
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128256
  • 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
    128001
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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    F32
    [4096]
  • blk.26.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.27
  • blk.27.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.27.attn_norm.weight
    F32
    [4096]
  • blk.27.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.27.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.27.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.27.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.27.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.28
  • blk.28.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.28.attn_norm.weight
    F32
    [4096]
  • blk.28.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.28.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.28.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.28.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.28.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.29
  • blk.29.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.29.attn_norm.weight
    F32
    [4096]
  • blk.29.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.29.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.29.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.29.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.29.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.30
  • blk.30.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.30.attn_norm.weight
    F32
    [4096]
  • blk.30.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.30.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.30.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.30.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.30.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.30.ffn_norm.weight
    F32
    [4096]
  • blk.30.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.31
  • blk.31.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.31.attn_norm.weight
    F32
    [4096]
  • blk.31.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.31.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.31.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.31.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.31.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.31.ffn_norm.weight
    F32
    [4096]
  • blk.31.ffn_up.weight
    Q8_0
    [4096, 14336]
  • output.weight
    Q8_0
    [4096, 128256]
  • rope_freqs.weight
    F32
    [64]
  • output_norm.weight
    F32
    [4096]