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RichardErkhov/appvoid_-_arco-2-instruct-gguf
appvoid_-_arco-2-instruct-gguf 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
52
11% of all-time downloads
All-time downloads
482
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Repo size
4.3 GB
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0
Public
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.gguf7 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
arco-2-instruct - GGUF
| Name | Quant method | Size |
|---|---|---|
| arco-2-instruct.Q2_K.gguf | Q2_K | 0.2GB |
| arco-2-instruct.IQ3_XS.gguf | IQ3_XS | 0.22GB |
| arco-2-instruct.IQ3_S.gguf | IQ3_S | 0.22GB |
| arco-2-instruct.Q3_K_S.gguf | Q3_K_S | 0.22GB |
| arco-2-instruct.IQ3_M.gguf | IQ3_M | 0.23GB |
| arco-2-instruct.Q3_K.gguf | Q3_K | 0.24GB |
| arco-2-instruct.Q3_K_M.gguf | Q3_K_M | 0.24GB |
| arco-2-instruct.Q3_K_L.gguf | Q3_K_L | 0.26GB |
| arco-2-instruct.IQ4_XS.gguf | IQ4_XS | 0.27GB |
| arco-2-instruct.Q4_0.gguf | Q4_0 | 0.28GB |
| arco-2-instruct.IQ4_NL.gguf | IQ4_NL | 0.28GB |
| arco-2-instruct.Q4_K_S.gguf | Q4_K_S | 0.28GB |
| arco-2-instruct.Q4_K.gguf | Q4_K | 0.3GB |
| arco-2-instruct.Q4_K_M.gguf | Q4_K_M | 0.3GB |
| arco-2-instruct.Q4_1.gguf | Q4_1 | 0.31GB |
| arco-2-instruct.Q5_0.gguf | Q5_0 | 0.34GB |
| arco-2-instruct.Q5_K_S.gguf | Q5_K_S | 0.34GB |
| arco-2-instruct.Q5_K.gguf | Q5_K | 0.34GB |
| arco-2-instruct.Q5_K_M.gguf | Q5_K_M | 0.34GB |
| arco-2-instruct.Q5_1.gguf | Q5_1 | 0.36GB |
| arco-2-instruct.Q6_K.gguf | Q6_K | 0.39GB |
| arco-2-instruct.Q8_0.gguf | Q8_0 | 0.51GB |
base_model:

this model was not trained, it is a merged of experts to improve instruction following tasks and reasoning.
there is no prompt intentionally set.
<a href="https://ko-fi.com/appvoid" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 34px !important; margin-top: -4px;width: 128px !important; filter: contrast(2) grayscale(100%) brightness(100%);" ></a>
arco-2-instruct (codenamed as arco-exp-17) is a merge of reflection models that improved instruction accuracy a little better than the original one.
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