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Browse files- app.py +1 -1
- repllama-instruct-hard-positives-v2-joint-full-weights/.gitattributes +0 -35
- repllama-instruct-hard-positives-v2-joint-full-weights/README.md +0 -199
- repllama-instruct-hard-positives-v2-joint-full-weights/config.json +0 -29
- repllama-instruct-hard-positives-v2-joint-full-weights/model-00001-of-00006.safetensors +0 -3
- repllama-instruct-hard-positives-v2-joint-full-weights/model-00002-of-00006.safetensors +0 -3
- repllama-instruct-hard-positives-v2-joint-full-weights/model-00003-of-00006.safetensors +0 -3
- repllama-instruct-hard-positives-v2-joint-full-weights/model-00004-of-00006.safetensors +0 -3
- repllama-instruct-hard-positives-v2-joint-full-weights/model-00005-of-00006.safetensors +0 -3
- repllama-instruct-hard-positives-v2-joint-full-weights/model-00006-of-00006.safetensors +0 -3
- repllama-instruct-hard-positives-v2-joint-full-weights/model.safetensors.index.json +0 -297
app.py
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# Launch the interface
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iface.launch()
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# Launch the interface
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iface.launch()
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repllama-instruct-hard-positives-v2-joint-full-weights/README.md
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---
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library_name: transformers
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tags: []
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---
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## Model Details
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### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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## Training Details
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#### Training Hyperparameters
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### Results
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#### Summary
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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repllama-instruct-hard-positives-v2-joint-full-weights/config.json
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"_name_or_path": "meta-llama/Llama-2-7b-hf",
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"architectures": [
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"LlamaModel"
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"attention_bias": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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repllama-instruct-hard-positives-v2-joint-full-weights/model-00001-of-00006.safetensors
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