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Llama-3.1-8B-Instruct-w16a8-rw

Text Generation
Transformers
Safetensors
PyTorch
Turkish
llama
legal
turkish
llama-3.1
fp8
bfloat16
mixed-precision
question-answering
fsdp-v2
distributed-training
conversational
text-generation-inference
Model card Files
xet
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Update README.md

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@@ -109,10 +109,10 @@ model = convert_to_float8_training(model, config=config)
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  | Llama-3.1-8B-Instruct-w16a8-8nodes-bs32 | 31476844 | 23.50 | 8 | 4 | **3.133** | **12.533** | 4 | 4 | 8 | 1024 |
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  | Llama-3.1-8B-Instruct-w16a16-8nodes-bs64 | 31476914 | 22.00 | 8 | 4 | **2.933** | **11.733** | 4 | 8 | 8 | 1024 |
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  | Llama-3.1-8B-Instruct-w16a8-8nodes-bs64 | 31476844 | 23.50 | 8 | 4 | **3.133** | **12.533** | 4 | 8 | 8 | 1024 |
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- | Llama-3.1-8B-Instruct-w16a8-rowwise_4nodes | 33477070 | 39.75 | 4 | 4 | **2.650** | **10.600** | 4 | 4 | 8 | 512 |
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- | Llama-3.1-8B-Instruct-w16a8-rowwise_with_gw_hp_4nodes | 33477179 | 37.43 | 4 | 4 | **2.495** | **9.982** | 4 | 4 | 8 | 512 |
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- | Llama-3.1-8B-Instruct-w16a8-rowwise_8nodes | 33476690 | 23.50 | 8 | 4 | **3.133** | **12.533** | 4 | 4 | 8 | 1024 |
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- | Llama-3.1-8B-Instruct-w16a8-rowwise_with_gw_hp_8nodes | 33476618 | 22.13 | 8 | 4 | **2.951** | **11.802** | 4 | 4 | 8 | 1024 |
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  ### *Training Time Analysision*
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  | Model | Training Time (mins) | Memory Allocated (avg %) | GPU Utilization (avg %) | Speed vs bf16 |
 
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  | Llama-3.1-8B-Instruct-w16a8-8nodes-bs32 | 31476844 | 23.50 | 8 | 4 | **3.133** | **12.533** | 4 | 4 | 8 | 1024 |
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  | Llama-3.1-8B-Instruct-w16a16-8nodes-bs64 | 31476914 | 22.00 | 8 | 4 | **2.933** | **11.733** | 4 | 8 | 8 | 1024 |
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  | Llama-3.1-8B-Instruct-w16a8-8nodes-bs64 | 31476844 | 23.50 | 8 | 4 | **3.133** | **12.533** | 4 | 8 | 8 | 1024 |
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+ | Llama-3.1-8B-Instruct-w16a8-rw_4nodes | 33477070 | 39.75 | 4 | 4 | **2.650** | **10.600** | 4 | 4 | 8 | 512 |
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+ | Llama-3.1-8B-Instruct-w16a8-rw-8nodes | 33476690 | 23.50 | 8 | 4 | **3.133** | **12.533** | 4 | 4 | 8 | 1024 |
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+ | Llama-3.1-8B-Instruct-w16a8-rw_with_gw_hp_4nodes | 33477179 | 37.43 | 4 | 4 | **2.495** | **9.982** | 4 | 4 | 8 | 512 |
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+ | Llama-3.1-8B-Instruct-w16a8-rw-with-gw-hp-8nodes | 33476618 | 22.13 | 8 | 4 | **2.951** | **11.802** | 4 | 4 | 8 | 1024 |
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  ### *Training Time Analysision*
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  | Model | Training Time (mins) | Memory Allocated (avg %) | GPU Utilization (avg %) | Speed vs bf16 |