hermes3

Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research

tools 3b 8b 70b 405b

65.1K 6 days ago

65 Tags
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model
f616bb4104f3 · 2.0GB
    Metadata
  • general.architecture
    llama
  • general.base_model.0.name
    Meta Llama 3.1 405B
  • general.base_model.0.organization
    Meta Llama
  • general.base_model.0.repo_url
    https://huggingface.co/meta-llama/Meta-Llama-3.1-405B
  • general.base_model.count
    1
  • general.basename
    Hermes-3-Llama-3.2
  • general.file_type
    15
  • general.finetune
    base-fft-chatml-rerun-8xh100-e4-4k-steps
  • general.languages
    [en]
  • general.license
    llama3
  • general.name
    Hermes 3 Llama 3.2 3b Base Fft Chatml Rerun 8xh100 E4 2024 11 24 4k Steps
  • general.organization
    Nous Research Core
  • general.quantization_version
    2
  • general.size_label
    3B
  • general.tags
    [Llama-3, instruct, finetune, chatml, gpt4, ...]
  • general.type
    model
  • general.version
    2024-11-24
  • llama.attention.head_count
    24
  • 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
    28
  • llama.context_length
    131072
  • llama.embedding_length
    3072
  • llama.feed_forward_length
    8192
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128256
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128039
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128001
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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    Q4_K
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    Q4_K
    [3072, 3072]
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    Q6_K
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    Q6_K
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    Q4_K
    [3072, 8192]
  • blk.0.ffn_norm.weight
    F32
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
    [3072, 3072]
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    Q4_K
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  • blk.1.attn_v.weight
    Q6_K
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    Q6_K
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    Q4_K
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  • blk.1.ffn_norm.weight
    F32
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    Q4_K
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    Q4_K
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  • blk.2.attn_norm.weight
    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    Q6_K
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    Q6_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    Q6_K
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    Q4_K
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    F32
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    Q6_K
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    Q4_K
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    Q4_K
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    F32
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    F32
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    Q6_K
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    Q6_K
    [8192, 3072]
  • blk.25.ffn_gate.weight
    Q4_K
    [3072, 8192]
  • blk.25.ffn_norm.weight
    F32
    [3072]
  • blk.25.ffn_up.weight
    Q4_K
    [3072, 8192]
    • blk.26
  • blk.26.attn_k.weight
    Q4_K
    [3072, 1024]
  • blk.26.attn_norm.weight
    F32
    [3072]
  • blk.26.attn_output.weight
    Q4_K
    [3072, 3072]
  • blk.26.attn_q.weight
    Q4_K
    [3072, 3072]
  • blk.26.attn_v.weight
    Q6_K
    [3072, 1024]
  • blk.26.ffn_down.weight
    Q6_K
    [8192, 3072]
  • blk.26.ffn_gate.weight
    Q4_K
    [3072, 8192]
  • blk.26.ffn_norm.weight
    F32
    [3072]
  • blk.26.ffn_up.weight
    Q4_K
    [3072, 8192]
    • blk.27
  • blk.27.attn_k.weight
    Q4_K
    [3072, 1024]
  • blk.27.attn_norm.weight
    F32
    [3072]
  • blk.27.attn_output.weight
    Q4_K
    [3072, 3072]
  • blk.27.attn_q.weight
    Q4_K
    [3072, 3072]
  • blk.27.attn_v.weight
    Q6_K
    [3072, 1024]
  • blk.27.ffn_down.weight
    Q6_K
    [8192, 3072]
  • blk.27.ffn_gate.weight
    Q4_K
    [3072, 8192]
  • blk.27.ffn_norm.weight
    F32
    [3072]
  • blk.27.ffn_up.weight
    Q4_K
    [3072, 8192]
  • rope_freqs.weight
    F32
    [64]
  • output_norm.weight
    F32
    [3072]