ertghiu256/
DeepQuestioner-phi4:latest

44 6 months ago

From microsoft Phi 4, using system prompt to think ask question to it self

... /
model
f6968ef012aa · 5.6GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    Q2_K
  • llama.attention.head_count
    40
  • llama.attention.head_count_kv
    10
  • llama.attention.key_length
    128
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.attention.value_length
    128
  • llama.block_count
    40
  • llama.context_length
    16384
  • llama.embedding_length
    5120
  • llama.feed_forward_length
    17920
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    250000
  • llama.vocab_size
    100352
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    100257
  • tokenizer.ggml.eos_token_id
    100265
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    100351
  • tokenizer.ggml.pre
    dbrx
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • tokenizer.ggml.unknown_token_id
    5809
  • mradermacher.convert_type
    hf
  • mradermacher.quantize_version
    2
  • mradermacher.quantized_at
    2025-01-25T18:07:02+01:00
  • mradermacher.quantized_by
    mradermacher
  • mradermacher.quantized_on
    leia
    • Tensor
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    F32
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  • blk.26.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.26.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.26.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.26.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.26.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.26.ffn_norm.weight
    F32
    [5120]
  • blk.26.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.27
  • blk.27.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.27.attn_norm.weight
    F32
    [5120]
  • blk.27.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.27.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.27.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.27.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.27.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.27.ffn_norm.weight
    F32
    [5120]
  • blk.27.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.28
  • blk.28.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.28.attn_norm.weight
    F32
    [5120]
  • blk.28.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.28.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.28.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.28.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.28.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.28.ffn_norm.weight
    F32
    [5120]
  • blk.28.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.29
  • blk.29.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.29.attn_norm.weight
    F32
    [5120]
  • blk.29.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.29.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.29.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.29.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.29.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.29.ffn_norm.weight
    F32
    [5120]
  • blk.29.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.30
  • blk.30.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.30.attn_norm.weight
    F32
    [5120]
  • blk.30.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.30.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.30.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.30.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.30.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.30.ffn_norm.weight
    F32
    [5120]
  • blk.30.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.31
  • blk.31.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.31.attn_norm.weight
    F32
    [5120]
  • blk.31.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.31.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.31.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.31.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.31.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.31.ffn_norm.weight
    F32
    [5120]
  • blk.31.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.32
  • blk.32.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.32.attn_norm.weight
    F32
    [5120]
  • blk.32.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.32.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.32.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.32.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.32.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.32.ffn_norm.weight
    F32
    [5120]
  • blk.32.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.33
  • blk.33.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.33.attn_norm.weight
    F32
    [5120]
  • blk.33.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.33.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.33.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.33.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.33.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.33.ffn_norm.weight
    F32
    [5120]
  • blk.33.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.34
  • blk.34.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.34.attn_norm.weight
    F32
    [5120]
  • blk.34.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.34.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.34.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.34.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.34.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.34.ffn_norm.weight
    F32
    [5120]
  • blk.34.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.35
  • blk.35.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.35.attn_norm.weight
    F32
    [5120]
  • blk.35.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.35.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.35.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.35.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.35.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.35.ffn_norm.weight
    F32
    [5120]
  • blk.35.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.36
  • blk.36.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.36.attn_norm.weight
    F32
    [5120]
  • blk.36.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.36.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.36.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.36.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.36.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.36.ffn_norm.weight
    F32
    [5120]
  • blk.36.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.37
  • blk.37.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.37.attn_norm.weight
    F32
    [5120]
  • blk.37.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.37.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.37.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.37.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.37.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.37.ffn_norm.weight
    F32
    [5120]
  • blk.37.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.38
  • blk.38.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.38.attn_norm.weight
    F32
    [5120]
  • blk.38.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.38.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.38.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.38.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.38.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.38.ffn_norm.weight
    F32
    [5120]
  • blk.38.ffn_up.weight
    Q2_K
    [5120, 17920]
    • blk.39
  • blk.39.attn_k.weight
    Q2_K
    [5120, 1280]
  • blk.39.attn_norm.weight
    F32
    [5120]
  • blk.39.attn_output.weight
    Q3_K
    [5120, 5120]
  • blk.39.attn_q.weight
    Q2_K
    [5120, 5120]
  • blk.39.attn_v.weight
    Q4_K
    [5120, 1280]
  • blk.39.ffn_down.weight
    Q3_K
    [17920, 5120]
  • blk.39.ffn_gate.weight
    Q2_K
    [5120, 17920]
  • blk.39.ffn_norm.weight
    F32
    [5120]
  • blk.39.ffn_up.weight
    Q2_K
    [5120, 17920]
  • output.weight
    Q6_K
    [5120, 100352]
  • output_norm.weight
    F32
    [5120]