santhoshj/ ambedkar:qwen3-0.6b

13 2 weeks ago

To assist users with legal queries related to Indian law, constitutional provisions, legislative procedures, and legal research.

tools thinking
... /
model
7f4030143c1c · 523MB
    Metadata
  • general.architecture
    qwen3
  • general.file_type
    Q4_K_M
  • qwen3.attention.head_count
    16
  • qwen3.attention.head_count_kv
    8
  • qwen3.attention.key_length
    128
  • qwen3.attention.layer_norm_rms_epsilon
    1e-06
  • qwen3.attention.value_length
    128
  • qwen3.block_count
    28
  • qwen3.context_length
    40960
  • qwen3.embedding_length
    1024
  • qwen3.feed_forward_length
    3072
  • qwen3.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
    [!, ", #, $, %, ...]
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  • blk.23.attn_norm.weight
    F32
    [1024]
  • blk.23.attn_output.weight
    Q4_K
    [2048, 1024]
  • blk.23.attn_q.weight
    Q4_K
    [1024, 2048]
  • blk.23.attn_q_norm.weight
    F32
    [128]
  • blk.23.attn_v.weight
    F16
    [1024, 1024]
  • blk.23.ffn_down.weight
    Q6_K
    [3072, 1024]
  • blk.23.ffn_gate.weight
    Q4_K
    [1024, 3072]
  • blk.23.ffn_norm.weight
    F32
    [1024]
  • blk.23.ffn_up.weight
    Q4_K
    [1024, 3072]
    • blk.24
  • blk.24.attn_k.weight
    Q4_K
    [1024, 1024]
  • blk.24.attn_k_norm.weight
    F32
    [128]
  • blk.24.attn_norm.weight
    F32
    [1024]
  • blk.24.attn_output.weight
    Q4_K
    [2048, 1024]
  • blk.24.attn_q.weight
    Q4_K
    [1024, 2048]
  • blk.24.attn_q_norm.weight
    F32
    [128]
  • blk.24.attn_v.weight
    F16
    [1024, 1024]
  • blk.24.ffn_down.weight
    Q6_K
    [3072, 1024]
  • blk.24.ffn_gate.weight
    Q4_K
    [1024, 3072]
  • blk.24.ffn_norm.weight
    F32
    [1024]
  • blk.24.ffn_up.weight
    Q4_K
    [1024, 3072]
    • blk.25
  • blk.25.attn_k.weight
    Q4_K
    [1024, 1024]
  • blk.25.attn_k_norm.weight
    F32
    [128]
  • blk.25.attn_norm.weight
    F32
    [1024]
  • blk.25.attn_output.weight
    Q4_K
    [2048, 1024]
  • blk.25.attn_q.weight
    Q4_K
    [1024, 2048]
  • blk.25.attn_q_norm.weight
    F32
    [128]
  • blk.25.attn_v.weight
    F16
    [1024, 1024]
  • blk.25.ffn_down.weight
    Q6_K
    [3072, 1024]
  • blk.25.ffn_gate.weight
    Q4_K
    [1024, 3072]
  • blk.25.ffn_norm.weight
    F32
    [1024]
  • blk.25.ffn_up.weight
    Q4_K
    [1024, 3072]
    • blk.26
  • blk.26.attn_k.weight
    Q4_K
    [1024, 1024]
  • blk.26.attn_k_norm.weight
    F32
    [128]
  • blk.26.attn_norm.weight
    F32
    [1024]
  • blk.26.attn_output.weight
    Q4_K
    [2048, 1024]
  • blk.26.attn_q.weight
    Q4_K
    [1024, 2048]
  • blk.26.attn_q_norm.weight
    F32
    [128]
  • blk.26.attn_v.weight
    F16
    [1024, 1024]
  • blk.26.ffn_down.weight
    Q6_K
    [3072, 1024]
  • blk.26.ffn_gate.weight
    Q4_K
    [1024, 3072]
  • blk.26.ffn_norm.weight
    F32
    [1024]
  • blk.26.ffn_up.weight
    Q4_K
    [1024, 3072]
    • blk.27
  • blk.27.attn_k.weight
    Q4_K
    [1024, 1024]
  • blk.27.attn_k_norm.weight
    F32
    [128]
  • blk.27.attn_norm.weight
    F32
    [1024]
  • blk.27.attn_output.weight
    Q4_K
    [2048, 1024]
  • blk.27.attn_q.weight
    Q4_K
    [1024, 2048]
  • blk.27.attn_q_norm.weight
    F32
    [128]
  • blk.27.attn_v.weight
    F16
    [1024, 1024]
  • blk.27.ffn_down.weight
    Q6_K
    [3072, 1024]
  • blk.27.ffn_gate.weight
    Q4_K
    [1024, 3072]
  • blk.27.ffn_norm.weight
    F32
    [1024]
  • blk.27.ffn_up.weight
    Q4_K
    [1024, 3072]
  • output.weight
    Q6_K
    [1024, 151936]
  • output_norm.weight
    F32
    [1024]