maternion/ ling-3.0-tiny:8b-F16

97 3 days ago

Ling-3.0-tiny is a lightweight 7.9B-parameter hybrid reasoning MoE with just 1.3B active parameters per token, offering strong reasoning and agentic capabilities at low inference cost.

8b
... /
model
2020d58d4488 · 16GB
    Metadata
  • general.architecture
    bailingmoe3
  • general.file_type
    BF16
  • bailingmoe3.attention.head_count
    16
  • bailingmoe3.attention.head_count_kv
    [0, 0, 0, 1, 0, ...]
  • bailingmoe3.attention.key_length
    576
  • bailingmoe3.attention.key_length_mla
    192
  • bailingmoe3.attention.kv_lora_rank
    512
  • bailingmoe3.attention.layer_norm_rms_epsilon
    1e-06
  • bailingmoe3.attention.q_lora_rank
    256
  • bailingmoe3.attention.value_length
    128
  • bailingmoe3.attention.value_length_mla
    128
  • bailingmoe3.block_count
    24
  • bailingmoe3.context_length
    131072
  • bailingmoe3.embedding_length
    1536
  • bailingmoe3.expert_count
    128
  • bailingmoe3.expert_feed_forward_length
    512
  • bailingmoe3.expert_gating_func
    2
  • bailingmoe3.expert_group_count
    8
  • bailingmoe3.expert_group_used_count
    4
  • bailingmoe3.expert_shared_count
    1
  • bailingmoe3.expert_shared_feed_forward_length
    512
  • bailingmoe3.expert_used_count
    8
  • bailingmoe3.expert_weights_norm
    true
  • bailingmoe3.expert_weights_scale
    2.5
  • bailingmoe3.feed_forward_length
    4608
  • bailingmoe3.kda.gate_lower_bound
    -5
  • bailingmoe3.kda.head_dim
    128
  • bailingmoe3.kda.safe_gate
    true
  • bailingmoe3.leading_dense_block_count
    1
  • bailingmoe3.rope.dimension_count
    64
  • bailingmoe3.rope.freq_base
    6e+06
  • bailingmoe3.ssm.conv_kernel
    4
  • bailingmoe3.vocab_size
    157184
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    156891
  • tokenizer.ggml.eos_token_id
    156895
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ t, i n, Ġ a, h e, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    156892
  • tokenizer.ggml.pre
    bailingmoe2
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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  • blk.22.ffn_down_exps.weight
    BF16
    [512, 1536, 128]
  • blk.22.ffn_down_shexp.weight
    BF16
    [512, 1536]
  • blk.22.ffn_gate_exps.weight
    BF16
    [1536, 512, 128]
  • blk.22.ffn_gate_inp.weight
    F32
    [1536, 128]
  • blk.22.ffn_gate_shexp.weight
    BF16
    [1536, 512]
  • blk.22.ffn_norm.weight
    F32
    [1536]
  • blk.22.ffn_up_exps.weight
    BF16
    [1536, 512, 128]
  • blk.22.ffn_up_shexp.weight
    BF16
    [1536, 512]
  • blk.22.ssm_a
    F32
    [1, 16]
  • blk.22.ssm_beta.weight
    BF16
    [1536, 16]
  • blk.22.ssm_conv1d_k.weight
    F32
    [4, 1, 2048, 1]
  • blk.22.ssm_conv1d_q.weight
    F32
    [4, 1, 2048, 1]
  • blk.22.ssm_conv1d_v.weight
    F32
    [4, 1, 2048, 1]
  • blk.22.ssm_dt.bias
    F32
    [2048]
  • blk.22.ssm_f_a.weight
    BF16
    [1536, 2048]
  • blk.22.ssm_g_a.weight
    BF16
    [1536, 2048]
  • blk.22.ssm_norm.weight
    F32
    [128]
    • blk.23
  • blk.23.attn_gate.weight
    BF16
    [1536, 16]
  • blk.23.attn_k_b.weight
    BF16
    [128, 512, 16]
  • blk.23.attn_kv_a_mqa.weight
    BF16
    [1536, 576]
  • blk.23.attn_kv_a_norm.weight
    F32
    [512]
  • blk.23.attn_norm.weight
    F32
    [1536]
  • blk.23.attn_output.weight
    BF16
    [2048, 1536]
  • blk.23.attn_q_a.weight
    BF16
    [1536, 256]
  • blk.23.attn_q_a_norm.weight
    F32
    [256]
  • blk.23.attn_q_b.weight
    BF16
    [256, 3072]
  • blk.23.attn_v_b.weight
    BF16
    [512, 128, 16]
  • blk.23.exp_probs_b.bias
    F32
    [128]
  • blk.23.ffn_down_exps.weight
    BF16
    [512, 1536, 128]
  • blk.23.ffn_down_shexp.weight
    BF16
    [512, 1536]
  • blk.23.ffn_gate_exps.weight
    BF16
    [1536, 512, 128]
  • blk.23.ffn_gate_inp.weight
    F32
    [1536, 128]
  • blk.23.ffn_gate_shexp.weight
    BF16
    [1536, 512]
  • blk.23.ffn_norm.weight
    F32
    [1536]
  • blk.23.ffn_up_exps.weight
    BF16
    [1536, 512, 128]
  • blk.23.ffn_up_shexp.weight
    BF16
    [1536, 512]
  • output.weight
    BF16
    [1536, 157184]
  • output_norm.weight
    F32
    [1536]