smollm2

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

tools 135m 360m 1.7b

7,590 6 days ago

49 Tags
... /
model
7ac9161c27c4 · 235MB
    Metadata
  • general.architecture
    llama
  • general.basename
    smollm2
  • general.file_type
    12
  • general.finetune
    8k-lc100k-mix1-ep2
  • general.languages
    [en]
  • general.license
    apache-2.0
  • general.name
    Smollm2 360M 8k Lc100K Mix1 Ep2
  • general.organization
    Loubnabnl
  • general.quantization_version
    2
  • general.size_label
    360M
  • general.type
    model
  • llama.attention.head_count
    15
  • llama.attention.head_count_kv
    5
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    8192
  • llama.embedding_length
    960
  • llama.feed_forward_length
    2560
  • 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
    Shape
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    Q8_0
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    [960, 960]
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    Q5_1
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  • blk.0.ffn_down.weight
    Q5_K
    [2560, 960]
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    [960, 2560]
  • blk.0.ffn_norm.weight
    F32
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    [960, 2560]
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    F32
    [960]
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    Q5_0
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    (!unknown_type 20!)
    [960, 960]
  • blk.1.attn_v.weight
    Q5_1
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    Q5_K
    [2560, 960]
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  • blk.1.ffn_norm.weight
    F32
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    F32
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    Q5_0
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    Q4_K
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    F32
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    F32
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    Q5_0
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
    [960]
  • blk.26.attn_output.weight
    Q5_0
    [960, 960]
  • blk.26.attn_q.weight
    (!unknown_type 20!)
    [960, 960]
  • blk.26.attn_v.weight
    Q5_0
    [960, 320]
  • blk.26.ffn_down.weight
    Q4_K
    [2560, 960]
  • blk.26.ffn_gate.weight
    (!unknown_type 20!)
    [960, 2560]
  • blk.26.ffn_norm.weight
    F32
    [960]
  • blk.26.ffn_up.weight
    (!unknown_type 20!)
    [960, 2560]
    • blk.27
  • blk.27.attn_k.weight
    (!unknown_type 20!)
    [960, 320]
  • blk.27.attn_norm.weight
    F32
    [960]
  • blk.27.attn_output.weight
    Q5_0
    [960, 960]
  • blk.27.attn_q.weight
    (!unknown_type 20!)
    [960, 960]
  • blk.27.attn_v.weight
    Q5_0
    [960, 320]
  • blk.27.ffn_down.weight
    Q4_K
    [2560, 960]
  • blk.27.ffn_gate.weight
    (!unknown_type 20!)
    [960, 2560]
  • blk.27.ffn_norm.weight
    F32
    [960]
  • blk.27.ffn_up.weight
    (!unknown_type 20!)
    [960, 2560]
    • blk.28
  • blk.28.attn_k.weight
    (!unknown_type 20!)
    [960, 320]
  • blk.28.attn_norm.weight
    F32
    [960]
  • blk.28.attn_output.weight
    Q5_0
    [960, 960]
  • blk.28.attn_q.weight
    (!unknown_type 20!)
    [960, 960]
  • blk.28.attn_v.weight
    Q5_0
    [960, 320]
  • blk.28.ffn_down.weight
    Q4_K
    [2560, 960]
  • blk.28.ffn_gate.weight
    (!unknown_type 20!)
    [960, 2560]
  • blk.28.ffn_norm.weight
    F32
    [960]
  • blk.28.ffn_up.weight
    (!unknown_type 20!)
    [960, 2560]
    • blk.29
  • blk.29.attn_k.weight
    (!unknown_type 20!)
    [960, 320]
  • blk.29.attn_norm.weight
    F32
    [960]
  • blk.29.attn_output.weight
    Q5_0
    [960, 960]
  • blk.29.attn_q.weight
    (!unknown_type 20!)
    [960, 960]
  • blk.29.attn_v.weight
    Q5_0
    [960, 320]
  • blk.29.ffn_down.weight
    Q4_K
    [2560, 960]
  • blk.29.ffn_gate.weight
    (!unknown_type 20!)
    [960, 2560]
  • blk.29.ffn_norm.weight
    F32
    [960]
  • blk.29.ffn_up.weight
    (!unknown_type 20!)
    [960, 2560]
    • blk.30
  • blk.30.attn_k.weight
    (!unknown_type 20!)
    [960, 320]
  • blk.30.attn_norm.weight
    F32
    [960]
  • blk.30.attn_output.weight
    Q5_0
    [960, 960]
  • blk.30.attn_q.weight
    (!unknown_type 20!)
    [960, 960]
  • blk.30.attn_v.weight
    Q5_0
    [960, 320]
  • blk.30.ffn_down.weight
    Q4_K
    [2560, 960]
  • blk.30.ffn_gate.weight
    (!unknown_type 20!)
    [960, 2560]
  • blk.30.ffn_norm.weight
    F32
    [960]
  • blk.30.ffn_up.weight
    (!unknown_type 20!)
    [960, 2560]
    • blk.31
  • blk.31.attn_k.weight
    (!unknown_type 20!)
    [960, 320]
  • blk.31.attn_norm.weight
    F32
    [960]
  • blk.31.attn_output.weight
    Q5_0
    [960, 960]
  • blk.31.attn_q.weight
    (!unknown_type 20!)
    [960, 960]
  • blk.31.attn_v.weight
    Q5_0
    [960, 320]
  • blk.31.ffn_down.weight
    Q4_K
    [2560, 960]
  • blk.31.ffn_gate.weight
    (!unknown_type 20!)
    [960, 2560]
  • blk.31.ffn_norm.weight
    F32
    [960]
  • blk.31.ffn_up.weight
    (!unknown_type 20!)
    [960, 2560]
  • output_norm.weight
    F32
    [960]