rouge/
mistroll-7b-v2.2:latest

38 1 year ago

This model was trained 2x faster with Unsloth and Huggingface's TRL library. This is an experiment on fixing models with incorrect behaviors.

... /
model
8a206ec25940 · 7.7GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    Q8_0
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    32768
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    14336
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    10000
  • llama.vocab_size
    32000
  • 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.padding_token_id
    0
  • tokenizer.ggml.scores
    [-1000, -1000, -1000, -1000, -1000, ...]
  • tokenizer.ggml.token_type
    [3, 3, 3, 6, 6, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, <|im_end|>, <0x00>, <0x01>, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
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    F32
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  • blk.26.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.27
  • blk.27.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.27.attn_norm.weight
    F32
    [4096]
  • blk.27.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.27.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.27.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.27.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.27.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.28
  • blk.28.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.28.attn_norm.weight
    F32
    [4096]
  • blk.28.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.28.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.28.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.28.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.28.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.29
  • blk.29.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.29.attn_norm.weight
    F32
    [4096]
  • blk.29.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.29.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.29.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.29.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.29.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.30
  • blk.30.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.30.attn_norm.weight
    F32
    [4096]
  • blk.30.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.30.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.30.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.30.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.30.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.30.ffn_norm.weight
    F32
    [4096]
  • blk.30.ffn_up.weight
    Q8_0
    [4096, 14336]
    • blk.31
  • blk.31.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.31.attn_norm.weight
    F32
    [4096]
  • blk.31.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.31.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.31.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.31.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.31.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.31.ffn_norm.weight
    F32
    [4096]
  • blk.31.ffn_up.weight
    Q8_0
    [4096, 14336]
  • output.weight
    Q8_0
    [4096, 32000]
  • output_norm.weight
    F32
    [4096]