smollm2

SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.

tools 135m 360m 1.7b

29.7K 4 weeks ago

49 Tags
... /
model
f535f83ec568 · 271MB
    Metadata
  • general.architecture
    llama
  • general.basename
    smollm2
  • general.file_type
    1
  • general.finetune
    8k-lc100k-mix1-ep2
  • general.languages
    [en]
  • general.license
    apache-2.0
  • general.name
    Smollm2 135M 8k Lc100K Mix1 Ep2
  • general.organization
    HuggingFaceTB
  • general.quantization_version
    2
  • general.size_label
    135M
  • general.type
    model
  • llama.attention.head_count
    9
  • llama.attention.head_count_kv
    3
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    30
  • llama.context_length
    8192
  • llama.embedding_length
    576
  • llama.feed_forward_length
    1536
  • llama.rope.dimension_count
    64
  • llama.rope.freq_base
    100000
  • llama.vocab_size
    49152
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.merges
    [Ġ t, Ġ a, i n, h e, Ġ Ġ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    2
  • tokenizer.ggml.pre
    smollm
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<|endoftext|>, <|im_start|>, <|im_end|>, <repo_name>, <reponame>, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • Name
    Type
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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
    [576, 1536]
  • blk.28.ffn_norm.weight
    F32
    [576]
  • blk.28.ffn_up.weight
    F16
    [576, 1536]
    • blk.29
  • blk.29.attn_k.weight
    F16
    [576, 192]
  • blk.29.attn_norm.weight
    F32
    [576]
  • blk.29.attn_output.weight
    F16
    [576, 576]
  • blk.29.attn_q.weight
    F16
    [576, 576]
  • blk.29.attn_v.weight
    F16
    [576, 192]
  • blk.29.ffn_down.weight
    F16
    [1536, 576]
  • blk.29.ffn_gate.weight
    F16
    [576, 1536]
  • blk.29.ffn_norm.weight
    F32
    [576]
  • blk.29.ffn_up.weight
    F16
    [576, 1536]
  • output_norm.weight
    F32
    [576]