daniau23/ lorafrica_gguf:latest

2 1 week ago

This repository contains GGUF versions of the Phi-4-mini-instruct base model and the LoRAfrica adapter, specialized for African History QA

... /
adapter
f4a493a07cc6 · 6.3MB
    Metadata
  • general.architecture
    phi3
  • adapter.lora.alpha
    16
  • adapter.type
    lora
    • Tensor
    blk.0
  • blk.0.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.0.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.1
  • blk.1.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.1.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.2
  • blk.2.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.2.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.3
  • blk.3.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.3.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.4
  • blk.4.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.4.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.5
  • blk.5.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.5.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.6
  • blk.6.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.6.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.7
  • blk.7.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.7.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.8
  • blk.8.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.8.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.9
  • blk.9.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.9.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.10
  • blk.10.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.10.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.11
  • blk.11.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.11.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.12
  • blk.12.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.12.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.13
  • blk.13.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.13.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.14
  • blk.14.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.14.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.15
  • blk.15.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.15.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.16
  • blk.16.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.16.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.17
  • blk.17.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.17.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.18
  • blk.18.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.18.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.19
  • blk.19.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.19.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.20
  • blk.20.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.20.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.21
  • blk.21.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.21.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.22
  • blk.22.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.22.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.23
  • blk.23.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.23.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.24
  • blk.24.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.24.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.25
  • blk.25.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.25.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.26
  • blk.26.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.26.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.27
  • blk.27.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.27.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.28
  • blk.28.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.28.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.29
  • blk.29.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.29.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.30
  • blk.30.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.30.attn_output.weight.lora_b
    F32
    [8, 3072]
    • blk.31
  • blk.31.attn_output.weight.lora_a
    F32
    [3072, 8]
  • blk.31.attn_output.weight.lora_b
    F32
    [8, 3072]