Text Classification
Transformers
Safetensors
English
mistral
text-generation
text-generation-inference
unsloth
trl
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use BarraHome/rezephyr_merged_4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BarraHome/rezephyr_merged_4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BarraHome/rezephyr_merged_4bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BarraHome/rezephyr_merged_4bit") model = AutoModelForCausalLM.from_pretrained("BarraHome/rezephyr_merged_4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Update README.md
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README.md
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- mistral
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- trl
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base_model: unsloth/zephyr-sft
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# Uploaded model
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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- mistral
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- trl
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base_model: unsloth/zephyr-sft
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datasets:
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- yahma/alpaca-cleaned
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pipeline_tag: text-classification
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---
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# Uploaded model
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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