mixtral

A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes.

tools 8x7b 8x22b

489K 4 months ago

69 Tags
... /
model
6c9911da1286 · 116GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    18
  • general.name
    Mixtral-8x22B-Instruct-v0.1
  • general.quantization_version
    2
  • general.type
    model
  • llama.attention.head_count
    48
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    56
  • llama.context_length
    65536
  • llama.embedding_length
    6144
  • llama.expert_count
    8
  • llama.expert_used_count
    2
  • 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
    true
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.model
    llama
  • 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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    F32
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    Q6_K
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    Q6_K
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  • blk.0.attn_v.weight
    Q8_0
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    Q6_K
    [16384, 6144, 8]
  • blk.0.ffn_gate_exps.weight
    Q6_K
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  • blk.0.ffn_gate_inp.weight
    F32
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  • blk.0.ffn_norm.weight
    F32
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  • blk.0.ffn_up_exps.weight
    Q6_K
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    Q8_0
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  • blk.1.attn_norm.weight
    F32
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  • blk.1.attn_output.weight
    Q6_K
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  • blk.1.attn_q.weight
    Q6_K
    [6144, 6144]
  • blk.1.attn_v.weight
    Q8_0
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  • blk.1.ffn_down_exps.weight
    Q6_K
    [16384, 6144, 8]
  • blk.1.ffn_gate_exps.weight
    Q6_K
    [6144, 16384, 8]
  • blk.1.ffn_gate_inp.weight
    F32
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  • blk.1.ffn_norm.weight
    F32
    [6144]
  • blk.1.ffn_up_exps.weight
    Q6_K
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    Q8_0
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  • blk.2.attn_norm.weight
    F32
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  • blk.2.attn_output.weight
    Q6_K
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  • blk.2.attn_q.weight
    Q6_K
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  • blk.2.attn_v.weight
    Q8_0
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  • blk.2.ffn_down_exps.weight
    Q6_K
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  • blk.2.ffn_gate_exps.weight
    Q6_K
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  • blk.2.ffn_gate_inp.weight
    F32
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  • blk.2.ffn_norm.weight
    F32
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    Q6_K
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    Q6_K
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    Q6_K
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    F32
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  • blk.3.ffn_norm.weight
    F32
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    Q6_K
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    Q8_0
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    F32
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    Q6_K
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    Q6_K
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    Q8_0
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    Q6_K
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    Q6_K
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    F32
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    F32
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    Q6_K
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    Q8_0
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    F32
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    Q6_K
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    Q6_K
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    Q8_0
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    Q6_K
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    Q6_K
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    F32
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    F32
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    Q6_K
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    Q8_0
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    F32
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    Q6_K
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    Q6_K
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    Q8_0
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    Q6_K
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    Q6_K
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    F32
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    F32
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    F32
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    Q6_K
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    Q6_K
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    Q8_0
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    Q6_K
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    Q6_K
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    F32
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    F32
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    Q6_K
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    F32
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    F32
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    F32
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    F32
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    Q6_K
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    F32
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    Q6_K
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    F32
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    Q6_K
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    F32
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    Q6_K
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    Q6_K
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    F32
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    Q6_K
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    F32
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    Q6_K
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    Q6_K
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    Q6_K
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    Q6_K
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    F32
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    F32
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    F32
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    Q6_K
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    F32
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    F32
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    F32
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    F32
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