cnmoro / smol_llama-101m-gqa-python

1 Pull Updated 6 weeks ago

... /
model
485a4e4de7c3 · 65MB
    Metadata
  • general.architecture
    llama
  • general.file_type
    Q4_K_M
  • llama.attention.head_count
    24
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    6
  • llama.context_length
    1024
  • llama.embedding_length
    768
  • llama.feed_forward_length
    3072
  • llama.rope.dimension_count
    32
  • llama.rope.freq_base
    10000
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.scores
    [0 0 0 0 0 ...]
  • tokenizer.ggml.token_type
    [2 3 3 6 6 ...]
  • tokenizer.ggml.tokens
    [<unk> <s> </s> <0x00> <0x01> ...]
    • Tensors
  • Name
    Type
    Shape
  • token_embd.weight
    Q4_K
    [768 32128]
    • blk.0
  • blk.0.attn_norm.weight
    F32
    [768]
  • blk.0.ffn_down.weight
    Q4_K
    [3072 768]
  • blk.0.ffn_gate.weight
    Q4_K
    [768 3072]
  • blk.0.ffn_up.weight
    Q4_K
    [768 3072]
  • blk.0.ffn_norm.weight
    F32
    [768]
  • blk.0.attn_k.weight
    Q4_K
    [768 256]
  • blk.0.attn_output.weight
    Q4_K
    [768 768]
  • blk.0.attn_q.weight
    Q4_K
    [768 768]
  • blk.0.attn_v.weight
    Q4_K
    [768 256]
    • blk.1
  • blk.1.attn_norm.weight
    F32
    [768]
  • blk.1.ffn_down.weight
    Q4_K
    [3072 768]
  • blk.1.ffn_gate.weight
    Q4_K
    [768 3072]
  • blk.1.ffn_up.weight
    Q4_K
    [768 3072]
  • blk.1.ffn_norm.weight
    F32
    [768]
  • blk.1.attn_k.weight
    Q4_K
    [768 256]
  • blk.1.attn_output.weight
    Q4_K
    [768 768]
  • blk.1.attn_q.weight
    Q4_K
    [768 768]
  • blk.1.attn_v.weight
    Q4_K
    [768 256]
    • blk.2
  • blk.2.attn_norm.weight
    F32
    [768]
  • blk.2.ffn_down.weight
    Q6_K
    [3072 768]
  • blk.2.ffn_gate.weight
    Q4_K
    [768 3072]
  • blk.2.ffn_up.weight
    Q4_K
    [768 3072]
  • blk.2.ffn_norm.weight
    F32
    [768]
  • blk.2.attn_k.weight
    Q4_K
    [768 256]
  • blk.2.attn_output.weight
    Q4_K
    [768 768]
  • blk.2.attn_q.weight
    Q4_K
    [768 768]
  • blk.2.attn_v.weight
    Q6_K
    [768 256]
    • blk.3
  • blk.3.attn_norm.weight
    F32
    [768]
  • blk.3.ffn_down.weight
    Q4_K
    [3072 768]
  • blk.3.ffn_gate.weight
    Q4_K
    [768 3072]
  • blk.3.ffn_up.weight
    Q4_K
    [768 3072]
  • blk.3.ffn_norm.weight
    F32
    [768]
  • blk.3.attn_k.weight
    Q4_K
    [768 256]
  • blk.3.attn_output.weight
    Q4_K
    [768 768]
  • blk.3.attn_q.weight
    Q4_K
    [768 768]
  • blk.3.attn_v.weight
    Q4_K
    [768 256]
    • blk.4
  • blk.4.attn_norm.weight
    F32
    [768]
  • blk.4.ffn_down.weight
    Q4_K
    [3072 768]
  • blk.4.ffn_gate.weight
    Q4_K
    [768 3072]
  • blk.4.ffn_up.weight
    Q4_K
    [768 3072]
  • blk.4.ffn_norm.weight
    F32
    [768]
  • blk.4.attn_k.weight
    Q4_K
    [768 256]
  • blk.4.attn_output.weight
    Q4_K
    [768 768]
  • blk.4.attn_q.weight
    Q4_K
    [768 768]
  • blk.4.attn_v.weight
    Q4_K
    [768 256]
    • blk.5
  • blk.5.attn_norm.weight
    F32
    [768]
  • blk.5.ffn_down.weight
    Q6_K
    [3072 768]
  • blk.5.ffn_gate.weight
    Q4_K
    [768 3072]
  • blk.5.ffn_up.weight
    Q4_K
    [768 3072]
  • blk.5.ffn_norm.weight
    F32
    [768]
  • blk.5.attn_k.weight
    Q4_K
    [768 256]
  • blk.5.attn_output.weight
    Q4_K
    [768 768]
  • blk.5.attn_q.weight
    Q4_K
    [768 768]
  • blk.5.attn_v.weight
    Q6_K
    [768 256]
  • output.weight
    Q6_K
    [768 32128]
  • output_norm.weight
    F32
    [768]