org/
deepseek-r1-uncensored:latest

742 6 months ago

DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.

... /
model
40f39b91ba93 · 46GB
    Metadata
  • general.architecture
    deepseek2
  • general.file_type
    Q2_K
  • deepseek2.attention.head_count
    128
  • deepseek2.attention.head_count_kv
    128
  • deepseek2.attention.key_length
    192
  • deepseek2.attention.kv_lora_rank
    512
  • deepseek2.attention.layer_norm_rms_epsilon
    1e-06
  • deepseek2.attention.q_lora_rank
    1536
  • deepseek2.attention.value_length
    128
  • deepseek2.block_count
    61
  • deepseek2.context_length
    163840
  • deepseek2.embedding_length
    7168
  • deepseek2.expert_count
    256
  • deepseek2.expert_feed_forward_length
    2048
  • deepseek2.expert_gating_func
    2
  • deepseek2.expert_shared_count
    1
  • deepseek2.expert_used_count
    8
  • deepseek2.expert_weights_norm
    true
  • deepseek2.expert_weights_scale
    2.5
  • deepseek2.feed_forward_length
    18432
  • deepseek2.leading_dense_block_count
    3
  • deepseek2.rope.dimension_count
    64
  • deepseek2.rope.freq_base
    10000
  • deepseek2.rope.scaling.factor
    40
  • deepseek2.rope.scaling.original_context_length
    4096
  • deepseek2.rope.scaling.type
    yarn
  • deepseek2.rope.scaling.yarn_log_multiplier
    0.1
  • deepseek2.vocab_size
    129280
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    0
  • tokenizer.ggml.eos_token_id
    1
  • tokenizer.ggml.merges
    [Ġ t, Ġ a, i n, Ġ Ġ, h e, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    1
  • tokenizer.ggml.pre
    deepseek-v3
  • tokenizer.ggml.token_type
    [3, 3, 3, 1, 1, ...]
  • tokenizer.ggml.tokens
    [<｜begin▁of▁sentence｜>, <｜end▁of▁sentence｜>, <｜▁pad▁｜>, !, ", ...]
  • split.count
    5
  • split.no
    0
  • split.tensors.count
    1025
    • Tensor
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  • blk.13.ffn_gate_inp.weight
    F32
    [7168, 256]
  • blk.13.ffn_gate_shexp.weight
    Q4_K
    [7168, 2048]
  • blk.13.ffn_norm.weight
    F32
    [7168]
  • blk.13.ffn_up_exps.weight
    Q2_K
    [7168, 2048, 256]
  • blk.13.ffn_up_shexp.weight
    Q4_K
    [7168, 2048]
    • blk.14
  • blk.14.attn_kv_a_mqa.weight
    Q6_K
    [7168, 576]
  • blk.14.attn_kv_a_norm.weight
    F32
    [512]
  • blk.14.attn_kv_b.weight
    Q6_K
    [512, 32768]
  • blk.14.attn_norm.weight
    F32
    [7168]
  • blk.14.attn_output.weight
    Q4_K
    [16384, 7168]
  • blk.14.attn_q_a.weight
    Q4_K
    [7168, 1536]
  • blk.14.attn_q_a_norm.weight
    F32
    [1536]
  • blk.14.attn_q_b.weight
    Q4_K
    [1536, 24576]
  • blk.14.exp_probs_b.bias
    F32
    [256]
  • output.weight
    Q6_K
    [7168, 129280]
  • output_norm.weight
    F32
    [7168]