QueryloopAI
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Llama-3-8B-NOLA

Text Generation

text-generation-inference

Inference Endpoints

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abideen commited on Jun 29

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@@ -5,7 +5,6 @@ license: apache-2.0
 # Llama-3-8B-NOLA
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e09e72e43b9464c835735f/72xGCzYfM3fMf-RZy6ueU.png)
 Llama-3-8B-NOLA is a fine-tuned variant of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1)
 for 100 steps only. The goal of this experiment was to try out this new technique NOLA and see the the number of trainable parameters. Due to limited compute, the results of this experiment
@@ -49,7 +48,7 @@ from transformers import AutoTokenizer
 import transformers
 import torch
-model = "Syed-Hasan-8503/Llama-3-8B-NOLA"
 tokenizer = AutoTokenizer.from_pretrained(model)
 pipeline = transformers.pipeline(

 # Llama-3-8B-NOLA
 Llama-3-8B-NOLA is a fine-tuned variant of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1)
 for 100 steps only. The goal of this experiment was to try out this new technique NOLA and see the the number of trainable parameters. Due to limited compute, the results of this experiment
 import transformers
 import torch
+model = "QueryloopAI/Llama-3-8B-NOLA"
 tokenizer = AutoTokenizer.from_pretrained(model)
 pipeline = transformers.pipeline(