tomasmcm / openelm

Apple OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

182 Pulls Updated 7 weeks ago

... /
model
8308909dd8bf · 2.2GB
    Metadata
  • general.architecture
    openelm
  • general.file_type
    Q5_K_M
  • general.quantization_version
    2
  • openelm.attention.head_count
    12
  • openelm.attention.head_count_kv
    3
  • openelm.attention.key_length
    128
  • openelm.attention.layer_norm_rms_epsilon
    1e-06
  • openelm.attention.value_length
    128
  • openelm.block_count
    36
  • openelm.context_length
    2048
  • openelm.embedding_length
    3072
  • openelm.feed_forward_length
    1536
  • openelm.rope.dimension_count
    128
  • openelm.rope.freq_base
    10000
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [0 0 0 0 0 ...]
  • tokenizer.ggml.token_type
    [2 3 3 6 6 ...]
  • tokenizer.ggml.tokens
    [<unk> <s> </s> <0x00> <0x01> ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensors
  • Name
    Type
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    [1536 3072]
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    F32
    [128]
  • blk.0.attn_qkv.weight
    Q6_K
    [3072 2304]
  • blk.0.attn_norm.weight
    F32
    [3072]
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    F32
    [128]
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    Q5_K
    [1536 3072]
  • blk.1.attn_q_norm.weight
    F32
    [128]
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    Q6_K
    [3072 2304]
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    [3072]
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    F32
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    [128]
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    F32
    [128]
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    Q5_K
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  • blk.3.attn_q_norm.weight
    F32
    [128]
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    Q6_K
    [3072 2304]
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    F32
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    Q5_K
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    Q5_K
    [9728 3072]
  • blk.27.ffn_norm.weight
    F32
    [3072]
    • blk.28
  • blk.28.attn_k_norm.weight
    F32
    [128]
  • blk.28.attn_output.weight
    Q5_K
    [2560 3072]
  • blk.28.attn_q_norm.weight
    F32
    [128]
  • blk.28.attn_qkv.weight
    Q6_K
    [3072 3840]
  • blk.28.attn_norm.weight
    F32
    [3072]
  • blk.28.ffn_gate.weight
    Q5_K
    [3072 10240]
  • blk.28.ffn_up.weight
    Q5_K
    [3072 10240]
  • blk.28.ffn_down.weight
    Q6_K
    [10240 3072]
  • blk.28.ffn_norm.weight
    F32
    [3072]
    • blk.29
  • blk.29.attn_k_norm.weight
    F32
    [128]
  • blk.29.attn_output.weight
    Q5_K
    [2560 3072]
  • blk.29.attn_q_norm.weight
    F32
    [128]
  • blk.29.attn_qkv.weight
    Q6_K
    [3072 3840]
  • blk.29.attn_norm.weight
    F32
    [3072]
  • blk.29.ffn_gate.weight
    Q5_K
    [3072 10496]
  • blk.29.ffn_up.weight
    Q5_K
    [3072 10496]
  • blk.29.ffn_down.weight
    Q5_K
    [10496 3072]
  • blk.29.ffn_norm.weight
    F32
    [3072]
    • blk.30
  • blk.30.attn_k_norm.weight
    F32
    [128]
  • blk.30.attn_output.weight
    Q5_K
    [3072 3072]
  • blk.30.attn_q_norm.weight
    F32
    [128]
  • blk.30.attn_qkv.weight
    Q6_K
    [3072 4608]
  • blk.30.attn_norm.weight
    F32
    [3072]
  • blk.30.ffn_gate.weight
    Q5_K
    [3072 10752]
  • blk.30.ffn_up.weight
    Q5_K
    [3072 10752]
  • blk.30.ffn_down.weight
    Q6_K
    [10752 3072]
  • blk.30.ffn_norm.weight
    F32
    [3072]
    • blk.31
  • blk.31.attn_k_norm.weight
    F32
    [128]
  • blk.31.attn_output.weight
    Q5_K
    [3072 3072]
  • blk.31.attn_q_norm.weight
    F32
    [128]
  • blk.31.attn_qkv.weight
    Q6_K
    [3072 4608]
  • blk.31.ffn_gate.weight
    Q5_K
    [3072 11008]
  • blk.31.ffn_up.weight
    Q5_K
    [3072 11008]
  • blk.31.attn_norm.weight
    F32
    [3072]
  • blk.31.ffn_down.weight
    Q6_K
    [11008 3072]
  • blk.31.ffn_norm.weight
    F32
    [3072]
    • blk.32
  • blk.32.attn_k_norm.weight
    F32
    [128]
  • blk.32.attn_output.weight
    Q5_K
    [3072 3072]
  • blk.32.attn_q_norm.weight
    F32
    [128]
  • blk.32.attn_qkv.weight
    Q6_K
    [3072 4608]
  • blk.32.attn_norm.weight
    F32
    [3072]
  • blk.32.ffn_gate.weight
    Q5_K
    [3072 11264]
  • blk.32.ffn_up.weight
    Q5_K
    [3072 11264]
  • blk.32.ffn_down.weight
    Q6_K
    [11264 3072]
  • blk.32.ffn_norm.weight
    F32
    [3072]
    • blk.33
  • blk.33.attn_k_norm.weight
    F32
    [128]
  • blk.33.attn_output.weight
    Q5_K
    [3072 3072]
  • blk.33.attn_q_norm.weight
    F32
    [128]
  • blk.33.attn_qkv.weight
    Q6_K
    [3072 4608]
  • blk.33.attn_norm.weight
    F32
    [3072]
  • blk.33.ffn_gate.weight
    Q5_K
    [3072 11776]
  • blk.33.ffn_up.weight
    Q5_K
    [3072 11776]
  • blk.33.ffn_down.weight
    Q6_K
    [11776 3072]
  • blk.33.ffn_norm.weight
    F32
    [3072]
    • blk.34
  • blk.34.attn_k_norm.weight
    F32
    [128]
  • blk.34.attn_output.weight
    Q5_K
    [3072 3072]
  • blk.34.attn_q_norm.weight
    F32
    [128]
  • blk.34.attn_qkv.weight
    Q6_K
    [3072 4608]
  • blk.34.attn_norm.weight
    F32
    [3072]
  • blk.34.ffn_gate.weight
    Q5_K
    [3072 12032]
  • blk.34.ffn_up.weight
    Q5_K
    [3072 12032]
  • blk.34.ffn_down.weight
    Q6_K
    [12032 3072]
  • blk.34.ffn_norm.weight
    F32
    [3072]
    • blk.35
  • blk.35.attn_k_norm.weight
    F32
    [128]
  • blk.35.attn_output.weight
    Q5_K
    [3072 3072]
  • blk.35.attn_q_norm.weight
    F32
    [128]
  • blk.35.attn_qkv.weight
    Q6_K
    [3072 4608]
  • blk.35.attn_norm.weight
    F32
    [3072]
  • blk.35.ffn_gate.weight
    Q5_K
    [3072 12288]
  • blk.35.ffn_up.weight
    Q5_K
    [3072 12288]
  • blk.35.ffn_down.weight
    Q6_K
    [12288 3072]
  • blk.35.ffn_norm.weight
    F32
    [3072]
  • output_norm.weight
    F32
    [3072]