Bored/ GigaChat3.1-10B-A1.8B-q4_K_M:latest

23 yesterday

GigaChat 3.1 Lightning is the compact instruct model of the GigaChat 3.1 family. It is a Mixture-of-Experts (MoE) model with 10B total parameters and 1.8B active parameters, designed for fast multilingual assistant workloads, reasoning, code

... /
model
68a8732fb5ce · 6.5GB
    Metadata
  • general.architecture
    deepseek2
  • general.file_type
    Q4_K_M
  • deepseek2.attention.head_count
    32
  • deepseek2.attention.head_count_kv
    1
  • deepseek2.attention.key_length
    576
  • deepseek2.attention.key_length_mla
    192
  • deepseek2.attention.kv_lora_rank
    512
  • deepseek2.attention.layer_norm_rms_epsilon
    1e-06
  • deepseek2.attention.value_length
    512
  • deepseek2.attention.value_length_mla
    192
  • deepseek2.block_count
    26
  • deepseek2.context_length
    262144
  • deepseek2.embedding_length
    1536
  • deepseek2.expert_count
    64
  • deepseek2.expert_feed_forward_length
    1280
  • deepseek2.expert_gating_func
    2
  • deepseek2.expert_group_count
    1
  • deepseek2.expert_group_used_count
    1
  • deepseek2.expert_shared_count
    1
  • deepseek2.expert_used_count
    4
  • deepseek2.expert_weights_norm
    true
  • deepseek2.expert_weights_scale
    1
  • deepseek2.feed_forward_length
    8960
  • deepseek2.leading_dense_block_count
    1
  • deepseek2.rope.dimension_count
    64
  • deepseek2.rope.freq_base
    100000
  • deepseek2.rope.scaling.factor
    64
  • deepseek2.rope.scaling.original_context_length
    4096
  • deepseek2.rope.scaling.type
    yarn
  • deepseek2.rope.scaling.yarn_beta_fast
    32
  • deepseek2.rope.scaling.yarn_beta_slow
    1
  • deepseek2.rope.scaling.yarn_log_multiplier
    0.1
  • deepseek2.vocab_size
    128256
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.merges
    [Ð ¾, Ð °, Ð µ, Ð ¸, Ð ½, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.pre
    gigachat
  • tokenizer.ggml.token_type
    [1, 3, 3, 1, 1, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, !, ", ...]
    • Tensor
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    Q4_K
    [1536, 128256]
    • blk.0
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    Q5_0
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    Q4_K
    [1536, 576]
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    F32
    [512]
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    F32
    [1536]
  • blk.0.attn_output.weight
    Q4_K
    [6144, 1536]
  • blk.0.attn_q.weight
    Q4_K
    [1536, 6144]
  • blk.0.attn_v_b.weight
    Q4_K
    [512, 192, 32]
  • blk.0.ffn_down.weight
    Q6_K
    [8960, 1536]
  • blk.0.ffn_gate.weight
    Q4_K
    [1536, 8960]
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    F32
    [1536]
  • blk.0.ffn_up.weight
    Q4_K
    [1536, 8960]
    • blk.1
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    Q5_0
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  • blk.1.attn_kv_a_mqa.weight
    Q4_K
    [1536, 576]
  • blk.1.attn_kv_a_norm.weight
    F32
    [512]
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    F32
    [1536]
  • blk.1.attn_output.weight
    Q4_K
    [6144, 1536]
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    Q4_K
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    Q4_K
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    F32
    [64]
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    Q6_K
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    Q6_K
    [1280, 1536]
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    Q4_K
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    F32
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    Q4_K
    [1536, 1280]
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    F32
    [1536]
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    Q4_K
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    Q4_K
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    Q5_0
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    Q4_K
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    F32
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    F32
    [1536]
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    Q4_K
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    Q4_K
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  • blk.2.exp_probs_b.bias
    F32
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    Q6_K
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    Q6_K
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    Q4_K
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    F32
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    Q4_K
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    F32
    [1536]
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    Q4_K
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    Q4_K
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    • blk.3
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    Q5_0
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    Q4_K
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    F32
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    F32
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
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  • blk.3.ffn_gate_shexp.weight
    Q4_K
    [1536, 1280]
  • blk.3.ffn_norm.weight
    F32
    [1536]
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    Q4_K
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  • blk.3.ffn_up_shexp.weight
    Q4_K
    [1536, 1280]
    • blk.4
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    Q5_0
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  • blk.4.attn_kv_a_mqa.weight
    Q4_K
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    F32
    [512]
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
    [64]
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
    [1536]
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    Q4_K
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    Q4_K
    [1536, 1280]
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    Q5_0
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    Q4_K
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    F32
    [512]
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    F32
    [1536]
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
    [64]
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    Q6_K
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    Q6_K
    [1280, 1536]
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    Q4_K
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    F32
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    Q4_K
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    F32
    [1536]
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    Q4_K
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    Q4_K
    [1536, 1280]
    • blk.6
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    Q5_0
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    Q4_K
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    F32
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    Q4_K
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    F32
    [64]
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    Q4_K
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    Q5_0
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    F32
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    F32
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    F32
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    F32
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    Q4_K
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    F32
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    F32
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    Q4_K
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    F32
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    Q6_K
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    Q6_K
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    F32
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    F32
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    F32
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