sam860/
LFM2:8b-a1b-Q3_K_M

943 1 month ago

Small models made to run on mobile devices, developed by Liquid AI

350m 700m 1.2b 2.6b 8b
... /
model
b39f735f86a1 · 4.0GB
    Metadata
  • general.architecture
    lfm2moe
  • general.file_type
    Q3_K_M
  • lfm2moe.attention.head_count
    32
  • lfm2moe.attention.head_count_kv
    [0, 0, 8, 0, 0, ...]
  • lfm2moe.attention.layer_norm_rms_epsilon
    1e-05
  • lfm2moe.block_count
    24
  • lfm2moe.context_length
    128000
  • lfm2moe.embedding_length
    2048
  • lfm2moe.expert_count
    32
  • lfm2moe.expert_feed_forward_length
    1792
  • lfm2moe.expert_gating_func
    2
  • lfm2moe.expert_used_count
    4
  • lfm2moe.feed_forward_length
    7168
  • lfm2moe.leading_dense_block_count
    2
  • lfm2moe.rope.freq_base
    1e+06
  • lfm2moe.shortconv.l_cache
    3
  • lfm2moe.vocab_size
    65536
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_sep_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    7
  • tokenizer.ggml.merges
    [Ċ Ċ, Ċ ĊĊ, ĊĊ Ċ, Ċ ĊĊĊ, ĊĊ ĊĊ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.pre
    lfm2
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<|pad|>, <|startoftext|>, <|endoftext|>, <|fim_pre|>, <|fim_mid|>, ...]
    • Tensor
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    [2048]
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  • blk.21.exp_probs_b.bias
    F32
    [32]
  • blk.21.ffn_down_exps.weight
    Q4_K
    [1792, 2048, 32]
  • blk.21.ffn_gate_exps.weight
    Q3_K
    [2048, 1792, 32]
  • blk.21.ffn_gate_inp.weight
    F32
    [2048, 32]
  • blk.21.ffn_norm.weight
    F32
    [2048]
  • blk.21.ffn_up_exps.weight
    Q3_K
    [2048, 1792, 32]
    • blk.22
  • blk.22.attn_norm.weight
    F32
    [2048]
  • blk.22.exp_probs_b.bias
    F32
    [32]
  • blk.22.ffn_down_exps.weight
    Q4_K
    [1792, 2048, 32]
  • blk.22.ffn_gate_exps.weight
    Q3_K
    [2048, 1792, 32]
  • blk.22.ffn_gate_inp.weight
    F32
    [2048, 32]
  • blk.22.ffn_norm.weight
    F32
    [2048]
  • blk.22.ffn_up_exps.weight
    Q3_K
    [2048, 1792, 32]
  • blk.22.shortconv.conv.weight
    F32
    [3, 2048]
  • blk.22.shortconv.in_proj.weight
    Q3_K
    [2048, 6144]
  • blk.22.shortconv.out_proj.weight
    Q3_K
    [2048, 2048]
    • blk.23
  • blk.23.attn_norm.weight
    F32
    [2048]
  • blk.23.exp_probs_b.bias
    F32
    [32]
  • blk.23.ffn_down_exps.weight
    Q4_K
    [1792, 2048, 32]
  • blk.23.ffn_gate_exps.weight
    Q3_K
    [2048, 1792, 32]
  • blk.23.ffn_gate_inp.weight
    F32
    [2048, 32]
  • blk.23.ffn_norm.weight
    F32
    [2048]
  • blk.23.ffn_up_exps.weight
    Q3_K
    [2048, 1792, 32]
  • blk.23.shortconv.conv.weight
    F32
    [3, 2048]
  • blk.23.shortconv.in_proj.weight
    Q3_K
    [2048, 6144]
  • blk.23.shortconv.out_proj.weight
    Q3_K
    [2048, 2048]
  • token_embd_norm.weight
    F32
    [2048]