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RichardErkhov/appvoid_-_palmer-002-32k-awq
appvoid_-_palmer-002-32k-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
21
42% of all-time downloads
All-time downloads
50
Public
Parameters
1.1B
766 MB on disk
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Public
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.safetensors766 MB · 99%
How the weights are stored.
I32969M · 88%
From the Hugging Face model README
Quantization made by Richard Erkhov.
palmer-002-32k - AWQ
license: apache-2.0 language:

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