Dolphin 3.0 Llama 3.1 8B 🐬 is the next generation of the Dolphin series of instruct-tuned models designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.

8b

17.7K 12 days ago

bfcba39d999d · 8.5GB
    Metadata
  • general.architecture
    llama
  • general.base_model.0.name
    Llama 3.1 8B
  • general.base_model.0.organization
    Meta Llama
  • general.base_model.0.repo_url
    https://huggingface.co/meta-llama/Llama-3.1-8B
  • general.base_model.count
    1
  • general.basename
    Dolphin-3.0-Llama-3.1
  • general.dataset.0.name
    Opc Sft Stage1
  • general.dataset.0.organization
    OpenCoder LLM
  • general.dataset.0.repo_url
    https://huggingface.co/OpenCoder-LLM/opc-sft-stage1
  • general.dataset.1.name
    Opc Sft Stage2
  • general.dataset.1.organization
    OpenCoder LLM
  • general.dataset.1.repo_url
    https://huggingface.co/OpenCoder-LLM/opc-sft-stage2
  • general.dataset.10.name
    Samantha Data
  • general.dataset.10.organization
    Cognitivecomputations
  • general.dataset.10.repo_url
    https://huggingface.co/cognitivecomputations/samantha-data
  • general.dataset.11.name
    CodeFeedback Filtered Instruction
  • general.dataset.11.organization
    M A P
  • general.dataset.11.repo_url
    https://huggingface.co/m-a-p/CodeFeedback-Filtered-Instruction
  • general.dataset.12.name
    Code Feedback
  • general.dataset.12.organization
    M A P
  • general.dataset.12.repo_url
    https://huggingface.co/m-a-p/Code-Feedback
  • general.dataset.2.name
    Orca Agentinstruct 1M v1
  • general.dataset.2.organization
    Microsoft
  • general.dataset.2.repo_url
    https://huggingface.co/microsoft/orca-agentinstruct-1M-v1
  • general.dataset.2.version
    v1
  • general.dataset.3.name
    Orca Math Word Problems 200k
  • general.dataset.3.organization
    Microsoft
  • general.dataset.3.repo_url
    https://huggingface.co/microsoft/orca-math-word-problems-200k
  • general.dataset.4.name
    Hermes Function Calling v1
  • general.dataset.4.organization
    NousResearch
  • general.dataset.4.repo_url
    https://huggingface.co/NousResearch/hermes-function-calling-v1
  • general.dataset.4.version
    v1
  • general.dataset.5.name
    NuminaMath CoT
  • general.dataset.5.organization
    AI MO
  • general.dataset.5.repo_url
    https://huggingface.co/AI-MO/NuminaMath-CoT
  • general.dataset.6.name
    NuminaMath TIR
  • general.dataset.6.organization
    AI MO
  • general.dataset.6.repo_url
    https://huggingface.co/AI-MO/NuminaMath-TIR
  • general.dataset.7.name
    Tulu 3 Sft Mixture
  • general.dataset.7.organization
    Allenai
  • general.dataset.7.repo_url
    https://huggingface.co/allenai/tulu-3-sft-mixture
  • general.dataset.8.name
    Dolphin Coder
  • general.dataset.8.organization
    Cognitivecomputations
  • general.dataset.8.repo_url
    https://huggingface.co/cognitivecomputations/dolphin-coder
  • general.dataset.9.name
    Smoltalk
  • general.dataset.9.organization
    HuggingFaceTB
  • general.dataset.9.repo_url
    https://huggingface.co/HuggingFaceTB/smoltalk
  • general.dataset.count
    13
  • general.file_type
    7
  • general.languages
    [en]
  • general.license
    llama3.1
  • general.name
    Dolphin 3.0 Llama 3.1 8B
  • general.organization
    Cognitivecomputations
  • general.quantization_version
    2
  • general.size_label
    8B
  • general.type
    model
  • 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
    32
  • llama.context_length
    131072
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    14336
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128258
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128256
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128001
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
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  • blk.22.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.22.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.22.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.22.ffn_norm.weight
    F32
    [4096]
  • blk.22.ffn_up.weight
    Q8_0
    [4096, 14336]
  • blk.23
  • blk.23.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.23.attn_norm.weight
    F32
    [4096]
  • blk.23.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.23.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.23.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.23.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.23.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.23.ffn_norm.weight
    F32
    [4096]
  • blk.23.ffn_up.weight
    Q8_0
    [4096, 14336]
  • blk.24
  • blk.24.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.24.attn_norm.weight
    F32
    [4096]
  • blk.24.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.24.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.24.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.24.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.24.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.24.ffn_norm.weight
    F32
    [4096]
  • blk.24.ffn_up.weight
    Q8_0
    [4096, 14336]
  • blk.25
  • blk.25.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.25.attn_norm.weight
    F32
    [4096]
  • blk.25.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.25.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.25.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.25.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.25.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.25.ffn_norm.weight
    F32
    [4096]
  • blk.25.ffn_up.weight
    Q8_0
    [4096, 14336]
  • blk.26
  • blk.26.attn_k.weight
    Q8_0
    [4096, 1024]
  • blk.26.attn_norm.weight
    F32
    [4096]
  • blk.26.attn_output.weight
    Q8_0
    [4096, 4096]
  • blk.26.attn_q.weight
    Q8_0
    [4096, 4096]
  • blk.26.attn_v.weight
    Q8_0
    [4096, 1024]
  • blk.26.ffn_down.weight
    Q8_0
    [14336, 4096]
  • blk.26.ffn_gate.weight
    Q8_0
    [4096, 14336]
  • blk.26.ffn_norm.weight
    F32
    [4096]
  • blk.26.ffn_up.weight
    Q8_0
    [4096, 14336]
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  • 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]
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  • 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
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    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, 128258]
  • rope_freqs.weight
    F32
    [64]
  • output_norm.weight
    F32
    [4096]