Upload fp8_config.json with huggingface_hub
Browse files- fp8_config.json +441 -0
fp8_config.json
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| 1 |
+
{
|
| 2 |
+
"quantization_method": "torchao_float8_dynamic_activation_float8_weight",
|
| 3 |
+
"fp8_dtype": "float8_e4m3fn",
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| 4 |
+
"fp8_layers": [
|
| 5 |
+
"model.encoder.subsampling.linear.weight",
|
| 6 |
+
"model.encoder.layers.0.feed_forward1.linear1.weight",
|
| 7 |
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"model.encoder.layers.0.feed_forward1.linear2.weight",
|
| 8 |
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"model.encoder.layers.0.self_attn.q_proj.weight",
|
| 9 |
+
"model.encoder.layers.0.self_attn.k_proj.weight",
|
| 10 |
+
"model.encoder.layers.0.self_attn.v_proj.weight",
|
| 11 |
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"model.encoder.layers.0.self_attn.o_proj.weight",
|
| 12 |
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"model.encoder.layers.0.self_attn.relative_k_proj.weight",
|
| 13 |
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"model.encoder.layers.0.feed_forward2.linear1.weight",
|
| 14 |
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"model.encoder.layers.0.feed_forward2.linear2.weight",
|
| 15 |
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"model.encoder.layers.1.feed_forward1.linear1.weight",
|
| 16 |
+
"model.encoder.layers.1.feed_forward1.linear2.weight",
|
| 17 |
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"model.encoder.layers.1.self_attn.q_proj.weight",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"model.encoder.layers.1.feed_forward2.linear1.weight",
|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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| 96 |
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| 97 |
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|
| 100 |
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| 104 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 123 |
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| 127 |
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|
| 438 |
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],
|
| 439 |
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"base_model": "CohereLabs/cohere-transcribe-03-2026",
|
| 440 |
+
"description": "Encoder weights quantized to FP8. Each FP8 layer stored as {name}.qdata (float8_e4m3fn) + {name}.scale (float32). Non-encoder weights remain in BF16."
|
| 441 |
+
}
|