SetneufPT/ Ornith-1.0-35B-MOE_Q4_110k_24GB-GPU:latest

135 2 weeks ago

Custom model for coding with agents to use locally with 24gb or 2x16gb GPUs (working fine...)

... /
model
6540411d9e4c · 21GB
    Metadata
  • general.architecture
    qwen35moe
  • general.file_type
    Q4_K_M
  • qwen35moe.attention.head_count
    16
  • qwen35moe.attention.head_count_kv
    2
  • qwen35moe.attention.key_length
    256
  • qwen35moe.attention.layer_norm_rms_epsilon
    1e-06
  • qwen35moe.attention.value_length
    256
  • qwen35moe.block_count
    40
  • qwen35moe.context_length
    262144
  • qwen35moe.embedding_length
    2048
  • qwen35moe.expert_count
    256
  • qwen35moe.expert_feed_forward_length
    512
  • qwen35moe.expert_shared_feed_forward_length
    512
  • qwen35moe.expert_used_count
    8
  • qwen35moe.full_attention_interval
    4
  • qwen35moe.rope.dimension_count
    64
  • qwen35moe.rope.dimension_sections
    [11, 11, 10, 0]
  • qwen35moe.rope.freq_base
    1e+07
  • qwen35moe.ssm.conv_kernel
    4
  • qwen35moe.ssm.group_count
    16
  • qwen35moe.ssm.inner_size
    4096
  • qwen35moe.ssm.state_size
    128
  • qwen35moe.ssm.time_step_rank
    32
  • tokenizer.ggml.bos_token_id
    248044
  • tokenizer.ggml.eos_token_id
    248046
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    248044
  • tokenizer.ggml.pre
    qwen35
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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    Q6_K
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    Q6_K
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    F32
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    F32
    [2048]
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    Q4_K
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    F32
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  • blk.0.ssm_a
    F32
    [32]
  • blk.0.ssm_alpha.weight
    Q4_K
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    F32
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    F32
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    F32
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    Q4_K
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    F32
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    F32
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