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--- |
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datasets: |
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- jondurbin/airoboros-2.2.1 |
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tags: |
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- airoboros |
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- tinyllama |
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--- |
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This model is a fine-tuned version of PY007/TinyLlama-1.1B-Chat-v0.3 (finetuned on 15k rows of airoboros-2.2.1 dataset) |
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## lm-eval |
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``` |
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| Task |Version| Metric |Value | |Stderr| |
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|-------------|------:|--------|-----:|---|-----:| |
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|arc_challenge| 0|acc |0.2671|± |0.0129| |
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| | |acc_norm|0.2850|± |0.0132| |
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|arc_easy | 0|acc |0.5673|± |0.0102| |
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| | |acc_norm|0.5109|± |0.0103| |
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|boolq | 1|acc |0.6040|± |0.0086| |
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|hellaswag | 0|acc |0.4155|± |0.0049| |
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| | |acc_norm|0.5420|± |0.0050| |
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|openbookqa | 0|acc |0.2200|± |0.0185| |
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| | |acc_norm|0.3420|± |0.0212| |
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|piqa | 0|acc |0.7057|± |0.0106| |
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| | |acc_norm|0.6970|± |0.0107| |
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|winogrande | 0|acc |0.5714|± |0.0139| |
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``` |
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## Usage: |
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``` |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "aloobun/TinyAiroboros-2.2.1" |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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prompt = "Write a short story about a dystopian society." |
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sequences = pipeline( |
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f'[INST] {prompt} [/INST]', |
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do_sample=True, |
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top_k=10, |
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num_return_sequences=1, |
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eos_token_id=tokenizer.eos_token_id, |
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max_length=1024, |
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) |
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for seq in sequences: |
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print(f"Result: {seq['generated_text']}") |
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``` |
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