unclemusclez/
smollm-135m-instruct-devinator:v2-q6_K

41 12 months ago

SmolLM 135M Instruct Trained on DEVINator Data for Open Hands (Open Devin)

... /
model
d42736f27f42 · 138MB
    Metadata
  • general.architecture
    llama
  • general.file_type
    Q6_K
  • llama.attention.head_count
    9
  • llama.attention.head_count_kv
    3
  • llama.attention.key_length
    64
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.attention.value_length
    64
  • llama.block_count
    30
  • llama.context_length
    2048
  • llama.embedding_length
    576
  • llama.feed_forward_length
    1536
  • llama.rope.dimension_count
    64
  • llama.rope.freq_base
    10000
  • 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-it-devin
  • 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
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    [576, 1536]
  • blk.27.ffn_norm.weight
    F32
    [576]
  • blk.27.ffn_up.weight
    Q8_0
    [576, 1536]
    • blk.28
  • blk.28.attn_k.weight
    Q8_0
    [576, 192]
  • blk.28.attn_norm.weight
    F32
    [576]
  • blk.28.attn_output.weight
    Q8_0
    [576, 576]
  • blk.28.attn_q.weight
    Q8_0
    [576, 576]
  • blk.28.attn_v.weight
    Q8_0
    [576, 192]
  • blk.28.ffn_down.weight
    Q6_K
    [1536, 576]
  • blk.28.ffn_gate.weight
    Q8_0
    [576, 1536]
  • blk.28.ffn_norm.weight
    F32
    [576]
  • blk.28.ffn_up.weight
    Q8_0
    [576, 1536]
    • blk.29
  • blk.29.attn_k.weight
    Q8_0
    [576, 192]
  • blk.29.attn_norm.weight
    F32
    [576]
  • blk.29.attn_output.weight
    Q8_0
    [576, 576]
  • blk.29.attn_q.weight
    Q8_0
    [576, 576]
  • blk.29.attn_v.weight
    Q8_0
    [576, 192]
  • blk.29.ffn_down.weight
    Q6_K
    [1536, 576]
  • blk.29.ffn_gate.weight
    Q8_0
    [576, 1536]
  • blk.29.ffn_norm.weight
    F32
    [576]
  • blk.29.ffn_up.weight
    Q8_0
    [576, 1536]
  • output_norm.weight
    F32
    [576]