wesjos/ SmolLM3-Fu:3b

10 4 months ago

This model is trained to be impolite when speaking in Chinese or sometime English

3b
... /
model
0d02f55c1c7b · 2.2GB
    Metadata
  • general.architecture
    smollm3
  • general.file_type
    Q5_K_M
  • smollm3.attention.head_count
    16
  • smollm3.attention.head_count_kv
    4
  • smollm3.attention.layer_norm_rms_epsilon
    1e-06
  • smollm3.block_count
    36
  • smollm3.context_length
    65536
  • smollm3.embedding_length
    2048
  • smollm3.feed_forward_length
    11008
  • smollm3.rope.dimension_count
    128
  • smollm3.rope.freq_base
    5e+06
  • smollm3.vocab_size
    128256
  • tokenizer.ggml.eos_token_id
    128012
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128012
  • tokenizer.ggml.pre
    smaug-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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    [2048, 11008]
    • blk.27
  • blk.27.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.27.attn_norm.weight
    F32
    [2048]
  • blk.27.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.27.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.27.attn_v.weight
    Q6_K
    [2048, 512]
  • blk.27.ffn_down.weight
    Q6_K
    [11008, 2048]
  • blk.27.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.27.ffn_norm.weight
    F32
    [2048]
  • blk.27.ffn_up.weight
    Q5_K
    [2048, 11008]
    • blk.28
  • blk.28.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.28.attn_norm.weight
    F32
    [2048]
  • blk.28.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.28.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.28.attn_v.weight
    Q5_K
    [2048, 512]
  • blk.28.ffn_down.weight
    Q5_K
    [11008, 2048]
  • blk.28.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.28.ffn_norm.weight
    F32
    [2048]
  • blk.28.ffn_up.weight
    Q5_K
    [2048, 11008]
    • blk.29
  • blk.29.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.29.attn_norm.weight
    F32
    [2048]
  • blk.29.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.29.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.29.attn_v.weight
    Q5_K
    [2048, 512]
  • blk.29.ffn_down.weight
    Q5_K
    [11008, 2048]
  • blk.29.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.29.ffn_norm.weight
    F32
    [2048]
  • blk.29.ffn_up.weight
    Q5_K
    [2048, 11008]
    • blk.30
  • blk.30.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.30.attn_norm.weight
    F32
    [2048]
  • blk.30.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.30.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.30.attn_v.weight
    Q6_K
    [2048, 512]
  • blk.30.ffn_down.weight
    Q6_K
    [11008, 2048]
  • blk.30.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.30.ffn_norm.weight
    F32
    [2048]
  • blk.30.ffn_up.weight
    Q5_K
    [2048, 11008]
    • blk.31
  • blk.31.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.31.attn_norm.weight
    F32
    [2048]
  • blk.31.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.31.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.31.attn_v.weight
    Q6_K
    [2048, 512]
  • blk.31.ffn_down.weight
    Q6_K
    [11008, 2048]
  • blk.31.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.31.ffn_norm.weight
    F32
    [2048]
  • blk.31.ffn_up.weight
    Q5_K
    [2048, 11008]
    • blk.32
  • blk.32.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.32.attn_norm.weight
    F32
    [2048]
  • blk.32.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.32.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.32.attn_v.weight
    Q6_K
    [2048, 512]
  • blk.32.ffn_down.weight
    Q6_K
    [11008, 2048]
  • blk.32.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.32.ffn_norm.weight
    F32
    [2048]
  • blk.32.ffn_up.weight
    Q5_K
    [2048, 11008]
    • blk.33
  • blk.33.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.33.attn_norm.weight
    F32
    [2048]
  • blk.33.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.33.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.33.attn_v.weight
    Q6_K
    [2048, 512]
  • blk.33.ffn_down.weight
    Q6_K
    [11008, 2048]
  • blk.33.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.33.ffn_norm.weight
    F32
    [2048]
  • blk.33.ffn_up.weight
    Q5_K
    [2048, 11008]
    • blk.34
  • blk.34.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.34.attn_norm.weight
    F32
    [2048]
  • blk.34.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.34.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.34.attn_v.weight
    Q6_K
    [2048, 512]
  • blk.34.ffn_down.weight
    Q6_K
    [11008, 2048]
  • blk.34.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.34.ffn_norm.weight
    F32
    [2048]
  • blk.34.ffn_up.weight
    Q5_K
    [2048, 11008]
    • blk.35
  • blk.35.attn_k.weight
    Q5_K
    [2048, 512]
  • blk.35.attn_norm.weight
    F32
    [2048]
  • blk.35.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.35.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.35.attn_v.weight
    Q6_K
    [2048, 512]
  • blk.35.ffn_down.weight
    Q6_K
    [11008, 2048]
  • blk.35.ffn_gate.weight
    Q5_K
    [2048, 11008]
  • blk.35.ffn_norm.weight
    F32
    [2048]
  • blk.35.ffn_up.weight
    Q5_K
    [2048, 11008]
  • output_norm.weight
    F32
    [2048]