vanilj / mistral-nemo-gutenberg-12b-v2

axolotl-ai-co/romulus-mistral-nemo-12b-simpo finetuned on jondurbin/gutenberg-dpo-v0.1

tools

70 2 months ago

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model
e76e69e95465 · 10GB
    Metadata
  • general.architecture
    llama
  • general.base_model.0.name
    Romulus Mistral Nemo 12b Simpo
  • general.base_model.0.organization
    Axolotl Ai Co
  • general.base_model.0.repo_url
    https://huggingface.co/axolotl-ai-co/romulus-mistral-nemo-12b-simpo
  • general.base_model.count
    1
  • general.basename
    romulus-mistral-nemo
  • general.datasets
    [jondurbin/gutenberg-dpo-v0.1]
  • general.file_type
    18
  • general.finetune
    simpo
  • general.license
    apache-2.0
  • general.name
    Romulus Mistral Nemo 12b Simpo
  • general.organization
    Axolotl Ai Co
  • general.quantization_version
    2
  • general.size_label
    12B
  • general.source.url
    https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v2
  • general.type
    model
  • general.url
    https://huggingface.co/mradermacher/mistral-nemo-gutenberg-12B-v2-GGUF
  • general.version
    v2
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.key_length
    128
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.attention.value_length
    128
  • llama.block_count
    40
  • llama.context_length
    1024000
  • llama.embedding_length
    5120
  • llama.feed_forward_length
    14336
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    1e+06
  • llama.vocab_size
    131072
  • mradermacher.convert_type
    hf
  • mradermacher.quantize_version
    2
  • mradermacher.quantized_at
    2024-08-14T02:24:56+02:00
  • mradermacher.quantized_by
    mradermacher
  • mradermacher.quantized_on
    db1
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    4
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    10
  • tokenizer.ggml.pre
    tekken
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, <|im_start|>, <|im_end|>, ...]
  • tokenizer.ggml.unknown_token_id
    0
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    [5120]
  • blk.24.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.25
  • blk.25.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.25.attn_norm.weight
    F32
    [5120]
  • blk.25.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.25.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.25.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.25.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.25.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.25.ffn_norm.weight
    F32
    [5120]
  • blk.25.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.26
  • blk.26.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.26.attn_norm.weight
    F32
    [5120]
  • blk.26.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.26.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.26.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.26.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.26.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.26.ffn_norm.weight
    F32
    [5120]
  • blk.26.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.27
  • blk.27.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.27.attn_norm.weight
    F32
    [5120]
  • blk.27.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.27.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.27.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.27.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.27.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.27.ffn_norm.weight
    F32
    [5120]
  • blk.27.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.28
  • blk.28.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.28.attn_norm.weight
    F32
    [5120]
  • blk.28.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.28.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.28.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.28.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.28.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.28.ffn_norm.weight
    F32
    [5120]
  • blk.28.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.29
  • blk.29.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.29.attn_norm.weight
    F32
    [5120]
  • blk.29.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.29.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.29.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.29.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.29.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.29.ffn_norm.weight
    F32
    [5120]
  • blk.29.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.30
  • blk.30.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.30.attn_norm.weight
    F32
    [5120]
  • blk.30.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.30.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.30.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.30.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.30.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.30.ffn_norm.weight
    F32
    [5120]
  • blk.30.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.31
  • blk.31.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.31.attn_norm.weight
    F32
    [5120]
  • blk.31.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.31.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.31.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.31.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.31.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.31.ffn_norm.weight
    F32
    [5120]
  • blk.31.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.32
  • blk.32.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.32.attn_norm.weight
    F32
    [5120]
  • blk.32.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.32.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.32.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.32.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.32.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.32.ffn_norm.weight
    F32
    [5120]
  • blk.32.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.33
  • blk.33.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.33.attn_norm.weight
    F32
    [5120]
  • blk.33.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.33.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.33.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.33.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.33.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.33.ffn_norm.weight
    F32
    [5120]
  • blk.33.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.34
  • blk.34.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.34.attn_norm.weight
    F32
    [5120]
  • blk.34.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.34.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.34.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.34.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.34.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.34.ffn_norm.weight
    F32
    [5120]
  • blk.34.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.35
  • blk.35.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.35.attn_norm.weight
    F32
    [5120]
  • blk.35.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.35.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.35.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.35.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.35.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.35.ffn_norm.weight
    F32
    [5120]
  • blk.35.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.36
  • blk.36.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.36.attn_norm.weight
    F32
    [5120]
  • blk.36.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.36.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.36.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.36.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.36.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.36.ffn_norm.weight
    F32
    [5120]
  • blk.36.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.37
  • blk.37.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.37.attn_norm.weight
    F32
    [5120]
  • blk.37.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.37.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.37.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.37.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.37.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.37.ffn_norm.weight
    F32
    [5120]
  • blk.37.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.38
  • blk.38.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.38.attn_norm.weight
    F32
    [5120]
  • blk.38.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.38.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.38.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.38.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.38.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.38.ffn_norm.weight
    F32
    [5120]
  • blk.38.ffn_up.weight
    Q6_K
    [5120, 14336]
    • blk.39
  • blk.39.attn_k.weight
    Q6_K
    [5120, 1024]
  • blk.39.attn_norm.weight
    F32
    [5120]
  • blk.39.attn_output.weight
    Q6_K
    [4096, 5120]
  • blk.39.attn_q.weight
    Q6_K
    [5120, 4096]
  • blk.39.attn_v.weight
    Q6_K
    [5120, 1024]
  • blk.39.ffn_down.weight
    Q6_K
    [14336, 5120]
  • blk.39.ffn_gate.weight
    Q6_K
    [5120, 14336]
  • blk.39.ffn_norm.weight
    F32
    [5120]
  • blk.39.ffn_up.weight
    Q6_K
    [5120, 14336]
  • output.weight
    Q6_K
    [5120, 131072]
  • output_norm.weight
    F32
    [5120]