myaniu/
minicpm4-mcp:latest

44 2 months ago

static quants of https://huggingface.co/openbmb/MiniCPM4-MCP

... /
model
85408790360d · 5.0GB
    Metadata
  • general.architecture
    minicpm
  • general.file_type
    Q4_K_M
  • minicpm.attention.head_count
    32
  • minicpm.attention.head_count_kv
    2
  • minicpm.attention.layer_norm_rms_epsilon
    1e-06
  • minicpm.block_count
    32
  • minicpm.context_length
    32768
  • minicpm.embedding_length
    4096
  • minicpm.embedding_scale
    12
  • minicpm.feed_forward_length
    16384
  • minicpm.logit_scale
    16
  • minicpm.residual_scale
    0.24748737
  • minicpm.rope.freq_base
    10000
  • minicpm.rope.scaling.type
    longrope
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    73440
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    73440
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [-1000, -1000, -1000, 0, 0, ...]
  • tokenizer.ggml.token_type
    [3, 3, 3, 1, 1, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, <SEP>, <CLS>, ...]
  • tokenizer.ggml.unknown_token_id
    0
  • mradermacher.convert_type
    hf
  • mradermacher.quantize_version
    2
  • mradermacher.quantized_at
    2025-06-06T11:56:01+02:00
  • mradermacher.quantized_by
    mradermacher
  • mradermacher.quantized_on
    marco
    • Tensor
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    Q4_K
    [4096, 4096]
  • blk.26.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.26.attn_v.weight
    Q4_K
    [4096, 256]
  • blk.26.ffn_down.weight
    Q4_K
    [16384, 4096]
  • blk.26.ffn_gate.weight
    Q4_K
    [4096, 16384]
  • blk.26.ffn_norm.weight
    F32
    [4096]
  • blk.26.ffn_up.weight
    Q4_K
    [4096, 16384]
    • blk.27
  • blk.27.attn_k.weight
    Q4_K
    [4096, 256]
  • blk.27.attn_norm.weight
    F32
    [4096]
  • blk.27.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.27.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.27.attn_v.weight
    Q6_K
    [4096, 256]
  • blk.27.ffn_down.weight
    Q6_K
    [16384, 4096]
  • blk.27.ffn_gate.weight
    Q4_K
    [4096, 16384]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    Q4_K
    [4096, 16384]
    • blk.28
  • blk.28.attn_k.weight
    Q4_K
    [4096, 256]
  • blk.28.attn_norm.weight
    F32
    [4096]
  • blk.28.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.28.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.28.attn_v.weight
    Q6_K
    [4096, 256]
  • blk.28.ffn_down.weight
    Q6_K
    [16384, 4096]
  • blk.28.ffn_gate.weight
    Q4_K
    [4096, 16384]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    Q4_K
    [4096, 16384]
    • blk.29
  • blk.29.attn_k.weight
    Q4_K
    [4096, 256]
  • blk.29.attn_norm.weight
    F32
    [4096]
  • blk.29.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.29.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.29.attn_v.weight
    Q6_K
    [4096, 256]
  • blk.29.ffn_down.weight
    Q6_K
    [16384, 4096]
  • blk.29.ffn_gate.weight
    Q4_K
    [4096, 16384]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    Q4_K
    [4096, 16384]
    • blk.30
  • blk.30.attn_k.weight
    Q4_K
    [4096, 256]
  • blk.30.attn_norm.weight
    F32
    [4096]
  • blk.30.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.30.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.30.attn_v.weight
    Q6_K
    [4096, 256]
  • blk.30.ffn_down.weight
    Q6_K
    [16384, 4096]
  • blk.30.ffn_gate.weight
    Q4_K
    [4096, 16384]
  • blk.30.ffn_norm.weight
    F32
    [4096]
  • blk.30.ffn_up.weight
    Q4_K
    [4096, 16384]
    • blk.31
  • blk.31.attn_k.weight
    Q4_K
    [4096, 256]
  • blk.31.attn_norm.weight
    F32
    [4096]
  • blk.31.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.31.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.31.attn_v.weight
    Q6_K
    [4096, 256]
  • blk.31.ffn_down.weight
    Q6_K
    [16384, 4096]
  • blk.31.ffn_gate.weight
    Q4_K
    [4096, 16384]
  • blk.31.ffn_norm.weight
    F32
    [4096]
  • blk.31.ffn_up.weight
    Q4_K
    [4096, 16384]
  • output.weight
    Q6_K
    [4096, 73448]
  • rope_factors_long.weight
    F32
    [64]
  • rope_factors_short.weight
    F32
    [64]
  • output_norm.weight
    F32
    [4096]