krith / meta-llama-3.1-70b-instruct

I-quants for meta-llama-3.1-70b-instruct

tools

71 8 weeks ago

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model
7784d35d5e4e · 27GB
    Metadata
  • general.architecture
    llama
  • general.basename
    meta-llama_Meta-Llama-3.1
  • general.file_type
    23
  • general.finetune
    Instruct
  • general.languages
    [en, de, fr, it, pt, ...]
  • general.license
    llama3.1
  • general.name
    Meta llama_Meta Llama 3.1 70B Instruct
  • general.quantization_version
    2
  • general.size_label
    70B
  • general.tags
    [facebook, meta, pytorch, llama, llama-3, ...]
  • general.type
    model
  • llama.attention.head_count
    64
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    80
  • llama.context_length
    131072
  • llama.embedding_length
    8192
  • llama.feed_forward_length
    28672
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128256
  • quantize.imatrix.chunks_count
    125
  • quantize.imatrix.dataset
    misc/calibration_datav3.txt
  • quantize.imatrix.entries_count
    560
  • quantize.imatrix.file
    gguf/Meta-Llama-3.1-70B-Instruct/imatrix.dat
  • 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.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
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    Type
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    F32
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    I32
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    I32
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    F32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    F32
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    I32
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    I32
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    I32
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    F32
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    I32
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    F32
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    I32
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    I32
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    I32
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    F32
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    I32
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    I32
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    F32
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    I32
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    F32
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    I32
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    I32
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    F32
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    I32
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    F32
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    I32
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    I32
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    F32
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    I32
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    F32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    F32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    I32
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    F32
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    I32
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    F32
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    I32
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    I32
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    F32
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    I32
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    F32
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    I32
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    I32
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    F32
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    I32
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    F32
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    I32
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    I32
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    F32
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    I32
    [8192, 28672]
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    (!unknown_type 22!)
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    F32
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    (!unknown_type 21!)
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    Q5_K
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    I32
    [28672, 8192]
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    I32
    [8192, 28672]
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    F32
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    I32
    [8192, 28672]
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    (!unknown_type 22!)
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    F32
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    Q5_K
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    I32
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    I32
    [8192, 28672]
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    F32
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    I32
    [8192, 28672]
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    (!unknown_type 22!)
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    F32
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    (!unknown_type 21!)
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    Q5_K
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    I32
    [28672, 8192]
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    I32
    [8192, 28672]
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    F32
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    I32
    [8192, 28672]
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    (!unknown_type 22!)
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    F32
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    Q5_K
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    I32
    [28672, 8192]
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    I32
    [8192, 28672]
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    F32
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    I32
    [8192, 28672]
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    (!unknown_type 22!)
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    F32
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    (!unknown_type 21!)
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    Q5_K
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    I32
    [28672, 8192]
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    I32
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    F32
    [8192]
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    I32
    [8192, 28672]
  • output.weight
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  • rope_freqs.weight
    F32
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    F32
    [8192]