tulu3

Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes by the The Allen Institute for AI.

8b 70b

7,289 6 days ago

9 Tags
... /
model
eac267b9fa62 · 16GB
    Metadata
  • general.architecture
    llama
  • general.base_model.0.name
    Llama 3.1 Tulu 3 8B DPO
  • general.base_model.0.organization
    Allenai
  • general.base_model.0.repo_url
    https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B-DPO
  • general.base_model.count
    1
  • general.basename
    Llama-3.1-Tulu-3
  • general.datasets
    [allenai/RLVR-GSM-MATH-IF-Mixed-Constraints]
  • general.file_type
    1
  • general.languages
    [en]
  • general.license
    llama3.1
  • general.name
    Model
  • general.quantization_version
    2
  • general.size_label
    8B
  • general.tags
    [text-generation]
  • general.type
    model
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    131072
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    14336
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128264
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128001
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128256
  • 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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    F16
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    F16
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  • blk.0.attn_q.weight
    F16
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  • blk.0.attn_v.weight
    F16
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    F16
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  • blk.0.ffn_gate.weight
    F16
    [4096, 14336]
  • blk.0.ffn_norm.weight
    F32
    [4096]
  • blk.0.ffn_up.weight
    F16
    [4096, 14336]
    • blk.1
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    F16
    [4096, 1024]
  • blk.1.attn_norm.weight
    F32
    [4096]
  • blk.1.attn_output.weight
    F16
    [4096, 4096]
  • blk.1.attn_q.weight
    F16
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  • blk.1.attn_v.weight
    F16
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    F16
    [14336, 4096]
  • blk.1.ffn_gate.weight
    F16
    [4096, 14336]
  • blk.1.ffn_norm.weight
    F32
    [4096]
  • blk.1.ffn_up.weight
    F16
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    • blk.2
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    F16
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  • blk.2.attn_norm.weight
    F32
    [4096]
  • blk.2.attn_output.weight
    F16
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  • blk.2.attn_q.weight
    F16
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  • blk.2.attn_v.weight
    F16
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    F16
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    F16
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  • blk.2.ffn_norm.weight
    F32
    [4096]
  • blk.2.ffn_up.weight
    F16
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    F16
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    F32
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  • blk.3.attn_output.weight
    F16
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    F16
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    F16
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    F16
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    F16
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  • blk.3.ffn_norm.weight
    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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  • blk.10.attn_v.weight
    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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  • blk.27.attn_q.weight
    F16
    [4096, 4096]
  • blk.27.attn_v.weight
    F16
    [4096, 1024]
  • blk.27.ffn_down.weight
    F16
    [14336, 4096]
  • blk.27.ffn_gate.weight
    F16
    [4096, 14336]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    F16
    [4096, 14336]
    • blk.28
  • blk.28.attn_k.weight
    F16
    [4096, 1024]
  • blk.28.attn_norm.weight
    F32
    [4096]
  • blk.28.attn_output.weight
    F16
    [4096, 4096]
  • blk.28.attn_q.weight
    F16
    [4096, 4096]
  • blk.28.attn_v.weight
    F16
    [4096, 1024]
  • blk.28.ffn_down.weight
    F16
    [14336, 4096]
  • blk.28.ffn_gate.weight
    F16
    [4096, 14336]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    F16
    [4096, 14336]
    • blk.29
  • blk.29.attn_k.weight
    F16
    [4096, 1024]
  • blk.29.attn_norm.weight
    F32
    [4096]
  • blk.29.attn_output.weight
    F16
    [4096, 4096]
  • blk.29.attn_q.weight
    F16
    [4096, 4096]
  • blk.29.attn_v.weight
    F16
    [4096, 1024]
  • blk.29.ffn_down.weight
    F16
    [14336, 4096]
  • blk.29.ffn_gate.weight
    F16
    [4096, 14336]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    F16
    [4096, 14336]
    • blk.30
  • blk.30.attn_k.weight
    F16
    [4096, 1024]
  • blk.30.attn_norm.weight
    F32
    [4096]
  • blk.30.attn_output.weight
    F16
    [4096, 4096]
  • blk.30.attn_q.weight
    F16
    [4096, 4096]
  • blk.30.attn_v.weight
    F16
    [4096, 1024]
  • blk.30.ffn_down.weight
    F16
    [14336, 4096]
  • blk.30.ffn_gate.weight
    F16
    [4096, 14336]
  • blk.30.ffn_norm.weight
    F32
    [4096]
  • blk.30.ffn_up.weight
    F16
    [4096, 14336]
    • blk.31
  • blk.31.attn_k.weight
    F16
    [4096, 1024]
  • blk.31.attn_norm.weight
    F32
    [4096]
  • blk.31.attn_output.weight
    F16
    [4096, 4096]
  • blk.31.attn_q.weight
    F16
    [4096, 4096]
  • blk.31.attn_v.weight
    F16
    [4096, 1024]
  • blk.31.ffn_down.weight
    F16
    [14336, 4096]
  • blk.31.ffn_gate.weight
    F16
    [4096, 14336]
  • blk.31.ffn_norm.weight
    F32
    [4096]
  • blk.31.ffn_up.weight
    F16
    [4096, 14336]
  • output.weight
    F16
    [4096, 128264]
  • rope_freqs.weight
    F32
    [64]
  • output_norm.weight
    F32
    [4096]