magicoder

🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.

7b

30.1K 12 months ago

18 Tags
... /
model
6c866e48e381 · 4.8GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    17
  • general.name
    ise-uiuc
  • general.quantization_version
    2
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    32
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    16384
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    11008
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    1e+06
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.scores
    [0, 0, 0, 0, 0, ...]
  • tokenizer.ggml.token_type
    [2, 3, 3, 6, 6, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, <0x00>, <0x01>, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • Name
    Type
    Shape
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    Q5_K
    [4096, 32000]
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    Q5_K
    [4096, 4096]
  • blk.0.attn_norm.weight
    F32
    [4096]
  • blk.0.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.0.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.0.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.0.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.0.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.0.ffn_norm.weight
    F32
    [4096]
  • blk.0.ffn_up.weight
    Q5_K
    [4096, 11008]
    • blk.1
  • blk.1.attn_k.weight
    Q5_K
    [4096, 4096]
  • blk.1.attn_norm.weight
    F32
    [4096]
  • blk.1.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.1.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.1.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.1.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.1.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.1.ffn_norm.weight
    F32
    [4096]
  • blk.1.ffn_up.weight
    Q5_K
    [4096, 11008]
    • blk.2
  • blk.2.attn_k.weight
    Q5_K
    [4096, 4096]
  • blk.2.attn_norm.weight
    F32
    [4096]
  • blk.2.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.2.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.2.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.2.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.2.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.2.ffn_norm.weight
    F32
    [4096]
  • blk.2.ffn_up.weight
    Q5_K
    [4096, 11008]
    • blk.3
  • blk.3.attn_k.weight
    Q5_K
    [4096, 4096]
  • blk.3.attn_norm.weight
    F32
    [4096]
  • blk.3.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.3.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.3.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.3.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.3.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.3.ffn_norm.weight
    F32
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  • blk.3.ffn_up.weight
    Q5_K
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    • blk.4
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    Q5_K
    [4096, 4096]
  • blk.4.attn_norm.weight
    F32
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  • blk.4.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.4.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.4.attn_v.weight
    Q5_K
    [4096, 4096]
  • blk.4.ffn_down.weight
    Q5_K
    [11008, 4096]
  • blk.4.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.4.ffn_norm.weight
    F32
    [4096]
  • blk.4.ffn_up.weight
    Q5_K
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    • blk.5
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    Q5_K
    [4096, 4096]
  • blk.5.attn_norm.weight
    F32
    [4096]
  • blk.5.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.5.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.5.attn_v.weight
    Q5_K
    [4096, 4096]
  • blk.5.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.5.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.5.ffn_norm.weight
    F32
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  • blk.5.ffn_up.weight
    Q5_K
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    • blk.6
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    Q5_K
    [4096, 4096]
  • blk.6.attn_norm.weight
    F32
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  • blk.6.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.6.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.6.attn_v.weight
    Q5_K
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  • blk.6.ffn_down.weight
    Q5_K
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  • blk.6.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.6.ffn_norm.weight
    F32
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  • blk.6.ffn_up.weight
    Q5_K
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    • blk.7
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    Q5_K
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    F32
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    Q5_K
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  • blk.7.attn_q.weight
    Q5_K
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  • blk.7.attn_v.weight
    Q6_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q6_K
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    Q5_K
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  • blk.8.ffn_norm.weight
    F32
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  • blk.8.ffn_up.weight
    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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  • blk.9.attn_v.weight
    Q5_K
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    Q5_K
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  • blk.9.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.9.ffn_norm.weight
    F32
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  • blk.9.ffn_up.weight
    Q5_K
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    Q5_K
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    F32
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    Q5_K
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  • blk.10.attn_q.weight
    Q5_K
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  • blk.10.attn_v.weight
    Q6_K
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  • blk.10.ffn_down.weight
    Q5_K
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  • blk.10.ffn_gate.weight
    Q5_K
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  • blk.10.ffn_norm.weight
    F32
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  • blk.10.ffn_up.weight
    Q5_K
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    Q5_K
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  • blk.11.attn_norm.weight
    F32
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    Q5_K
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    Q5_K
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    F32
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    Q6_K
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    Q6_K
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    Q5_K
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    Q5_K
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    F32
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
    [11008, 4096]
  • blk.26.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.26.ffn_norm.weight
    F32
    [4096]
  • blk.26.ffn_up.weight
    Q5_K
    [4096, 11008]
    • blk.27
  • blk.27.attn_k.weight
    Q5_K
    [4096, 4096]
  • blk.27.attn_norm.weight
    F32
    [4096]
  • blk.27.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.27.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.27.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.27.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.27.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    Q5_K
    [4096, 11008]
    • blk.28
  • blk.28.attn_k.weight
    Q5_K
    [4096, 4096]
  • blk.28.attn_norm.weight
    F32
    [4096]
  • blk.28.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.28.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.28.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.28.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.28.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    Q5_K
    [4096, 11008]
    • blk.29
  • blk.29.attn_k.weight
    Q5_K
    [4096, 4096]
  • blk.29.attn_norm.weight
    F32
    [4096]
  • blk.29.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.29.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.29.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.29.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.29.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    Q5_K
    [4096, 11008]
    • blk.30
  • blk.30.attn_k.weight
    Q5_K
    [4096, 4096]
  • blk.30.attn_norm.weight
    F32
    [4096]
  • blk.30.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.30.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.30.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.30.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.30.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.30.ffn_norm.weight
    F32
    [4096]
  • blk.30.ffn_up.weight
    Q5_K
    [4096, 11008]
    • blk.31
  • blk.31.attn_k.weight
    Q5_K
    [4096, 4096]
  • blk.31.attn_norm.weight
    F32
    [4096]
  • blk.31.attn_output.weight
    Q5_K
    [4096, 4096]
  • blk.31.attn_q.weight
    Q5_K
    [4096, 4096]
  • blk.31.attn_v.weight
    Q6_K
    [4096, 4096]
  • blk.31.ffn_down.weight
    Q6_K
    [11008, 4096]
  • blk.31.ffn_gate.weight
    Q5_K
    [4096, 11008]
  • blk.31.ffn_norm.weight
    F32
    [4096]
  • blk.31.ffn_up.weight
    Q5_K
    [4096, 11008]
  • output.weight
    Q6_K
    [4096, 32000]
  • output_norm.weight
    F32
    [4096]