Arcee-SuperNova-Medius is a 14B parameter language model developed by Arcee.ai, built on the Qwen2.5-14B-Instruct architecture.

tools

668 6 weeks ago

3af8cf571b57 · 7.3GB
    Metadata
  • general.architecture
    qwen2
  • general.base_model.0.name
    Qwamma 14b Merge v1
  • general.base_model.0.organization
    Chargoddard
  • general.base_model.0.repo_url
    https://huggingface.co/chargoddard/qwamma-14b-merge-v1
  • general.base_model.0.version
    v1
  • general.base_model.1.name
    Qwen2.5 14B Instruct_arcee Qwen2 14B v0.2
  • general.base_model.1.organization
    Arcee Train
  • general.base_model.1.repo_url
    https://huggingface.co/arcee-train/Qwen2.5-14B-Instruct_arcee-qwen2-14B-v0.2
  • general.base_model.1.version
    v0.2
  • general.base_model.2.name
    Qwen2.5 14B
  • general.base_model.2.organization
    Qwen
  • general.base_model.2.repo_url
    https://huggingface.co/Qwen/Qwen2.5-14B
  • general.base_model.count
    3
  • general.basename
    Qwen2.5
  • general.file_type
    12
  • general.name
    Qwen2.5 14B
  • general.organization
    Qwen
  • general.quantization_version
    2
  • general.size_label
    14B
  • general.tags
    [mergekit, merge]
  • general.type
    model
  • quantize.imatrix.chunks_count
    128
  • quantize.imatrix.dataset
    /training_dir/calibration_datav3.txt
  • quantize.imatrix.entries_count
    336
  • quantize.imatrix.file
    /models_out/SuperNova-14B-GGUF/SuperNova-14B.imatrix
  • qwen2.attention.head_count
    40
  • qwen2.attention.head_count_kv
    8
  • qwen2.attention.layer_norm_rms_epsilon
    1e-05
  • qwen2.block_count
    48
  • qwen2.context_length
    131072
  • qwen2.embedding_length
    5120
  • qwen2.feed_forward_length
    13824
  • qwen2.rope.freq_base
    1e+06
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.bos_token_id
    151643
  • tokenizer.ggml.eos_token_id
    151645
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    151643
  • tokenizer.ggml.pre
    qwen2
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • Tensor
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    Type
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    Q3_K
    [5120, 152064]
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    F32
    [1024]
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    Q3_K
    [5120, 1024]
  • blk.0.attn_norm.weight
    F32
    [5120]
  • blk.0.attn_output.weight
    Q4_K
    [5120, 5120]
  • blk.0.attn_q.bias
    F32
    [5120]
  • blk.0.attn_q.weight
    Q3_K
    [5120, 5120]
  • blk.0.attn_v.bias
    F32
    [1024]
  • blk.0.attn_v.weight
    Q5_K
    [5120, 1024]
  • blk.0.ffn_down.weight
    Q5_K
    [13824, 5120]
  • blk.0.ffn_gate.weight
    Q3_K
    [5120, 13824]
  • blk.0.ffn_norm.weight
    F32
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  • blk.0.ffn_up.weight
    Q3_K
    [5120, 13824]
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    F32
    [1024]
  • blk.1.attn_k.weight
    Q3_K
    [5120, 1024]
  • blk.1.attn_norm.weight
    F32
    [5120]
  • blk.1.attn_output.weight
    Q4_K
    [5120, 5120]
  • blk.1.attn_q.bias
    F32
    [5120]
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    Q3_K
    [5120, 5120]
  • blk.1.attn_v.bias
    F32
    [1024]
  • blk.1.attn_v.weight
    Q5_K
    [5120, 1024]
  • blk.1.ffn_down.weight
    Q5_K
    [13824, 5120]
  • blk.1.ffn_gate.weight
    Q3_K
    [5120, 13824]
  • blk.1.ffn_norm.weight
    F32
    [5120]
  • blk.1.ffn_up.weight
    Q3_K
    [5120, 13824]
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    F32
    [1024]
  • blk.2.attn_k.weight
    Q3_K
    [5120, 1024]
  • blk.2.attn_norm.weight
    F32
    [5120]
  • blk.2.attn_output.weight
    Q4_K
    [5120, 5120]
  • blk.2.attn_q.bias
    F32
    [5120]
  • blk.2.attn_q.weight
    Q3_K
    [5120, 5120]
  • blk.2.attn_v.bias
    F32
    [1024]
  • blk.2.attn_v.weight
    Q4_K
    [5120, 1024]
  • blk.2.ffn_down.weight
    Q4_K
    [13824, 5120]
  • blk.2.ffn_gate.weight
    Q3_K
    [5120, 13824]
  • blk.2.ffn_norm.weight
    F32
    [5120]
  • blk.2.ffn_up.weight
    Q3_K
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    F32
    [1024]
  • blk.3.attn_k.weight
    Q3_K
    [5120, 1024]
  • blk.3.attn_norm.weight
    F32
    [5120]
  • blk.3.attn_output.weight
    Q4_K
    [5120, 5120]
  • blk.3.attn_q.bias
    F32
    [5120]
  • blk.3.attn_q.weight
    Q3_K
    [5120, 5120]
  • blk.3.attn_v.bias
    F32
    [1024]
  • blk.3.attn_v.weight
    Q4_K
    [5120, 1024]
  • blk.3.ffn_down.weight
    Q4_K
    [13824, 5120]
  • blk.3.ffn_gate.weight
    Q3_K
    [5120, 13824]
  • blk.3.ffn_norm.weight
    F32
    [5120]
  • blk.3.ffn_up.weight
    Q3_K
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    F32
    [1024]
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    Q3_K
    [5120, 1024]
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    F32
    [5120]
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    Q4_K
    [5120, 5120]
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    F32
    [5120]
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    Q3_K
    [5120, 5120]
  • blk.4.attn_v.bias
    F32
    [1024]
  • blk.4.attn_v.weight
    Q4_K
    [5120, 1024]
  • blk.4.ffn_down.weight
    Q4_K
    [13824, 5120]
  • blk.4.ffn_gate.weight
    Q3_K
    [5120, 13824]
  • blk.4.ffn_norm.weight
    F32
    [5120]
  • blk.4.ffn_up.weight
    Q3_K
    [5120, 13824]
  • blk.5
  • blk.5.attn_k.bias
    F32
    [1024]
  • blk.5.attn_k.weight
    Q3_K
    [5120, 1024]
  • blk.5.attn_norm.weight
    F32
    [5120]
  • blk.5.attn_output.weight
    Q4_K
    [5120, 5120]
  • blk.5.attn_q.bias
    F32
    [5120]
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    Q3_K
    [5120, 5120]
  • blk.5.attn_v.bias
    F32
    [1024]
  • blk.5.attn_v.weight
    Q4_K
    [5120, 1024]
  • blk.5.ffn_down.weight
    Q4_K
    [13824, 5120]
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    Q3_K
    [5120, 13824]
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    F32
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    Q3_K
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    F32
    [1024]
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    Q3_K
    [5120, 1024]
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    F32
    [5120]
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    Q4_K
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    F32
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    Q3_K
    [5120, 5120]
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    F32
    [1024]
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    Q4_K
    [5120, 1024]
  • blk.6.ffn_down.weight
    Q4_K
    [13824, 5120]
  • blk.6.ffn_gate.weight
    Q3_K
    [5120, 13824]
  • blk.6.ffn_norm.weight
    F32
    [5120]
  • blk.6.ffn_up.weight
    Q3_K
    [5120, 13824]
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    F32
    [1024]
  • blk.7.attn_k.weight
    Q3_K
    [5120, 1024]
  • blk.7.attn_norm.weight
    F32
    [5120]
  • blk.7.attn_output.weight
    Q4_K
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    F32
    [5120]
  • blk.7.attn_q.weight
    Q3_K
    [5120, 5120]
  • blk.7.attn_v.bias
    F32
    [1024]
  • blk.7.attn_v.weight
    Q4_K
    [5120, 1024]
  • blk.7.ffn_down.weight
    Q4_K
    [13824, 5120]
  • blk.7.ffn_gate.weight
    Q3_K
    [5120, 13824]
  • blk.7.ffn_norm.weight
    F32
    [5120]
  • blk.7.ffn_up.weight
    Q3_K
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    F32
    [1024]
  • blk.8.attn_k.weight
    Q3_K
    [5120, 1024]
  • blk.8.attn_norm.weight
    F32
    [5120]
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    Q4_K
    [5120, 5120]
  • blk.8.attn_q.bias
    F32
    [5120]
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    Q3_K
    [5120, 5120]
  • blk.8.attn_v.bias
    F32
    [1024]
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    Q4_K
    [5120, 1024]
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    Q4_K
    [13824, 5120]
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    Q3_K
    [5120, 13824]
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    F32
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    Q3_K
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    F32
    [1024]
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    Q3_K
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    F32
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    Q4_K
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    F32
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    Q3_K
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    F32
    [1024]
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    Q4_K
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    Q4_K
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    Q3_K
    [5120, 13824]
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    F32
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    Q3_K
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    F32
    [1024]
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    Q3_K
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    F32
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    Q4_K
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    Q3_K
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    F32
    [1024]
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    Q4_K
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    Q5_K
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    Q3_K
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    F32
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    Q3_K
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    F32
    [1024]
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    Q3_K
    [5120, 1024]
  • blk.11.attn_norm.weight
    F32
    [5120]
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    Q4_K
    [5120, 5120]
  • blk.11.attn_q.bias
    F32
    [5120]
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    Q3_K
    [5120, 5120]
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    F32
    [1024]
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    Q4_K
    [5120, 1024]
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    Q4_K
    [13824, 5120]
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    Q3_K
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    F32
    [5120]
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    Q3_K
    [5120, 13824]
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    F32
    [1024]
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    Q3_K
    [5120, 1024]
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    F32
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    [1024]
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    Q4_K
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    F32
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    Q3_K
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    F32
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