huihui_ai/Hermes-3-Llama-3.2-abliterated

Hermes 3 3B is a small but mighty new addition to the Hermes series of LLMs by Nous Research, and is Nous's first fine-tune in this parameter class.

tools 3b

57 2 days ago

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model
2d955093a8cb · 2.0GB
    Metadata
  • general.architecture
    llama
  • general.base_model.0.name
    Hermes 3 Llama 3.2 3B
  • general.base_model.0.organization
    NousResearch
  • general.base_model.0.repo_url
    https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B
  • general.base_model.count
    1
  • general.basename
    Hermes-3-Llama-3.2
  • general.file_type
    15
  • general.finetune
    abliterated
  • general.languages
    [en]
  • general.license
    llama3
  • general.name
    Hermes 3 Llama 3.2 3B
  • general.organization
    NousResearch
  • general.quantization_version
    2
  • general.size_label
    3B
  • general.tags
    [Llama-3, instruct, finetune, chatml, gpt4, ...]
  • general.type
    model
  • 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
  • Name
    Type
    Shape
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    F32
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  • blk.0.attn_output.weight
    Q4_K
    [3072, 3072]
  • blk.0.attn_q.weight
    Q4_K
    [3072, 3072]
  • blk.0.attn_v.weight
    Q6_K
    [3072, 1024]
  • blk.0.ffn_down.weight
    Q6_K
    [8192, 3072]
  • blk.0.ffn_gate.weight
    Q4_K
    [3072, 8192]
  • blk.0.ffn_norm.weight
    F32
    [3072]
  • blk.0.ffn_up.weight
    Q4_K
    [3072, 8192]
    • blk.1
  • blk.1.attn_k.weight
    Q4_K
    [3072, 1024]
  • blk.1.attn_norm.weight
    F32
    [3072]
  • blk.1.attn_output.weight
    Q4_K
    [3072, 3072]
  • blk.1.attn_q.weight
    Q4_K
    [3072, 3072]
  • blk.1.attn_v.weight
    Q6_K
    [3072, 1024]
  • blk.1.ffn_down.weight
    Q6_K
    [8192, 3072]
  • blk.1.ffn_gate.weight
    Q4_K
    [3072, 8192]
  • blk.1.ffn_norm.weight
    F32
    [3072]
  • blk.1.ffn_up.weight
    Q4_K
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    • blk.2
  • blk.2.attn_k.weight
    Q4_K
    [3072, 1024]
  • blk.2.attn_norm.weight
    F32
    [3072]
  • blk.2.attn_output.weight
    Q4_K
    [3072, 3072]
  • blk.2.attn_q.weight
    Q4_K
    [3072, 3072]
  • blk.2.attn_v.weight
    Q6_K
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  • blk.2.ffn_down.weight
    Q6_K
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  • blk.2.ffn_gate.weight
    Q4_K
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  • blk.2.ffn_norm.weight
    F32
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  • blk.2.ffn_up.weight
    Q4_K
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    Q4_K
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    F32
    [3072]
  • blk.3.attn_output.weight
    Q4_K
    [3072, 3072]
  • blk.3.attn_q.weight
    Q4_K
    [3072, 3072]
  • blk.3.attn_v.weight
    Q4_K
    [3072, 1024]
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    Q4_K
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    Q4_K
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  • blk.3.ffn_norm.weight
    F32
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  • blk.3.ffn_up.weight
    Q4_K
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    Q4_K
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  • blk.4.attn_norm.weight
    F32
    [3072]
  • blk.4.attn_output.weight
    Q4_K
    [3072, 3072]
  • blk.4.attn_q.weight
    Q4_K
    [3072, 3072]
  • blk.4.attn_v.weight
    Q4_K
    [3072, 1024]
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    Q4_K
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    Q4_K
    [3072, 8192]
  • blk.4.ffn_norm.weight
    F32
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  • blk.4.ffn_up.weight
    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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    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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    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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  • blk.6.ffn_gate.weight
    Q4_K
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  • blk.6.ffn_norm.weight
    F32
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  • blk.6.ffn_up.weight
    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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    Q4_K
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    F32
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    Q4_K
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    Q6_K
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    Q6_K
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    Q4_K
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  • blk.8.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
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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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  • blk.9.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
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  • blk.10.attn_q.weight
    Q4_K
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  • blk.10.attn_v.weight
    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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    Q6_K
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    F32
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    Q4_K
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    Q6_K
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    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]