A high-performing model trained with a new technique called Reflection-tuning that teaches a LLM to detect mistakes in its reasoning and correct course.

70b

97.4K 2 months ago

869f8b234e8c · 43GB
    Metadata
  • general.architecture
    llama
  • general.base_model.0.name
    Meta Llama 3.1 70B Instruct
  • general.base_model.0.organization
    Meta Llama
  • general.base_model.0.repo_url
    https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct
  • general.base_model.count
    1
  • general.basename
    Meta-Llama-3.1
  • general.file_type
    15
  • general.finetune
    Instruct
  • general.license
    llama3.1
  • general.name
    Meta Llama 3.1 70B Instruct
  • general.organization
    Meta Llama
  • general.quantization_version
    2
  • general.size_label
    70B
  • general.tags
    [text-generation]
  • general.type
    model
  • llama.attention.head_count
    64
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    80
  • llama.context_length
    131072
  • llama.embedding_length
    8192
  • llama.feed_forward_length
    28672
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128262
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128009
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128009
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
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