nous-hermes2:34b-yi-fp16

149.3K 1 year ago

The powerful family of models by Nous Research that excels at scientific discussion and coding tasks.

10.7b 34b
... /
model
a6a7de1da788 · 69GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    F16
  • llama.attention.head_count
    56
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    60
  • llama.context_length
    4096
  • llama.embedding_length
    7168
  • llama.feed_forward_length
    20480
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    5e+06
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    7
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.scores
    [0, 0, 0, 0, 0, ...]
  • tokenizer.ggml.token_type
    [2, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, <|Human|>, <|Assistant|>, ...]
    • Tensor
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    F16
    [7168, 20480]
  • blk.58.ffn_norm.weight
    F32
    [7168]
  • blk.58.ffn_up.weight
    F16
    [7168, 20480]
    • blk.59
  • blk.59.attn_k.weight
    F16
    [7168, 1024]
  • blk.59.attn_norm.weight
    F32
    [7168]
  • blk.59.attn_output.weight
    F16
    [7168, 7168]
  • blk.59.attn_q.weight
    F16
    [7168, 7168]
  • blk.59.attn_v.weight
    F16
    [7168, 1024]
  • blk.59.ffn_down.weight
    F16
    [20480, 7168]
  • blk.59.ffn_gate.weight
    F16
    [7168, 20480]
  • blk.59.ffn_norm.weight
    F32
    [7168]
  • blk.59.ffn_up.weight
    F16
    [7168, 20480]
  • output.weight
    F16
    [7168, 64000]
  • output_norm.weight
    F32
    [7168]