mistral-small

Mistral Small is a lightweight model designed for cost-effective use in tasks like translation and summarization.

tools 22b

49.4K 2 months ago

17 Tags
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model
e5f39205cb13 · 13GB
    Metadata
  • general.architecture
    llama
  • general.basename
    Mistral
  • general.file_type
    2
  • general.finetune
    Instruct
  • general.languages
    [en, fr, de, es, it, ...]
  • general.license
    other
  • general.license.link
    https://mistral.ai/licenses/MRL-0.1.md
  • general.license.name
    mrl
  • general.name
    Mistral Small Instruct 2409
  • general.quantization_version
    2
  • general.size_label
    Small
  • general.type
    model
  • general.version
    2409
  • llama.attention.head_count
    48
  • llama.attention.head_count_kv
    8
  • llama.attention.key_length
    128
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.attention.value_length
    128
  • llama.block_count
    56
  • llama.context_length
    131072
  • llama.embedding_length
    6144
  • llama.feed_forward_length
    16384
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    1e+06
  • llama.vocab_size
    32768
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    2
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [-1000, -1000, -1000, -1000, -1000, ...]
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, [INST], [/INST], ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • Name
    Type
    Shape
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    Q4_0
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    Q4_0
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  • blk.0.attn_norm.weight
    F32
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  • blk.0.attn_output.weight
    Q4_0
    [6144, 6144]
  • blk.0.attn_q.weight
    Q4_0
    [6144, 6144]
  • blk.0.attn_v.weight
    Q4_0
    [6144, 1024]
  • blk.0.ffn_down.weight
    Q4_0
    [16384, 6144]
  • blk.0.ffn_gate.weight
    Q4_0
    [6144, 16384]
  • blk.0.ffn_norm.weight
    F32
    [6144]
  • blk.0.ffn_up.weight
    Q4_0
    [6144, 16384]
    • blk.1
  • blk.1.attn_k.weight
    Q4_0
    [6144, 1024]
  • blk.1.attn_norm.weight
    F32
    [6144]
  • blk.1.attn_output.weight
    Q4_0
    [6144, 6144]
  • blk.1.attn_q.weight
    Q4_0
    [6144, 6144]
  • blk.1.attn_v.weight
    Q4_0
    [6144, 1024]
  • blk.1.ffn_down.weight
    Q4_0
    [16384, 6144]
  • blk.1.ffn_gate.weight
    Q4_0
    [6144, 16384]
  • blk.1.ffn_norm.weight
    F32
    [6144]
  • blk.1.ffn_up.weight
    Q4_0
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    • blk.2
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    Q4_0
    [6144, 1024]
  • blk.2.attn_norm.weight
    F32
    [6144]
  • blk.2.attn_output.weight
    Q4_0
    [6144, 6144]
  • blk.2.attn_q.weight
    Q4_0
    [6144, 6144]
  • blk.2.attn_v.weight
    Q4_0
    [6144, 1024]
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    Q4_0
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    Q4_0
    [6144, 16384]
  • blk.2.ffn_norm.weight
    F32
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    Q4_0
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    Q4_0
    [6144, 1024]
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    F32
    [6144]
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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  • blk.4.attn_q.weight
    Q4_0
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  • blk.4.attn_v.weight
    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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  • blk.6.ffn_norm.weight
    F32
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
    [6144, 16384]
  • blk.54.ffn_norm.weight
    F32
    [6144]
  • blk.54.ffn_up.weight
    Q4_0
    [6144, 16384]
    • blk.55
  • blk.55.attn_k.weight
    Q4_0
    [6144, 1024]
  • blk.55.attn_norm.weight
    F32
    [6144]
  • blk.55.attn_output.weight
    Q4_0
    [6144, 6144]
  • blk.55.attn_q.weight
    Q4_0
    [6144, 6144]
  • blk.55.attn_v.weight
    Q4_0
    [6144, 1024]
  • blk.55.ffn_down.weight
    Q4_0
    [16384, 6144]
  • blk.55.ffn_gate.weight
    Q4_0
    [6144, 16384]
  • blk.55.ffn_norm.weight
    F32
    [6144]
  • blk.55.ffn_up.weight
    Q4_0
    [6144, 16384]
  • output.weight
    Q6_K
    [6144, 32768]
  • output_norm.weight
    F32
    [6144]