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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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--- |
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# palmer |
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### a better base model |
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This model is palmer-002-2401 scaled to 32k by merging and fine-tuning with TinyLlama-1.1B-32k-Instruct by Doctor-Shotgun |
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### evaluation 🧪 |
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note that this is a zero-shot setting as opposite to open llm leaderboard's few-shot evals |
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``` |
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model ARC-C OBQA HellaSwag PIQA Winogrande Average |
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tinyllama | 0.3029 | 0.3600 | 0.5935 | 0.7329 | 0.5959 | 0.5170 | |
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palmer-002-2401 | 0.3294 | 0.3700 | 0.5950 | 0.7399 | 0.5896 | 0.5247 | |
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palmer-002-32k | 0.3268 | 0.3780 | 0.5785 | 0.7492 | 0.6251 | 0.5315 | (this) |
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babbage-002 | 0.3285 | 0.3620 | 0.6380 | 0.7606 | 0.6085 | 0.5395 | |
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``` |
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This model's performance is close to openai's one while being capable of using 2x the context size. |
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### prompt 📝 |
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``` |
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no prompt 🚀 |
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``` |
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