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RichardErkhov/IkariDev_-_Athena-v2-gguf
IkariDev_-_Athena-v2-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
19
2% of all-time downloads
All-time downloads
1.2K
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Repo size
144 GB
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0
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.gguf167 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Athena-v2 - GGUF
| Name | Quant method | Size |
|---|---|---|
| Athena-v2.Q2_K.gguf | Q2_K | 4.52GB |
| Athena-v2.IQ3_XS.gguf | IQ3_XS | 4.99GB |
| Athena-v2.IQ3_S.gguf | IQ3_S | 5.27GB |
| Athena-v2.Q3_K_S.gguf | Q3_K_S | 5.27GB |
| Athena-v2.IQ3_M.gguf | IQ3_M | 5.57GB |
| Athena-v2.Q3_K.gguf | Q3_K | 5.9GB |
| Athena-v2.Q3_K_M.gguf | Q3_K_M | 5.9GB |
| Athena-v2.Q3_K_L.gguf | Q3_K_L | 4.61GB |
| Athena-v2.IQ4_XS.gguf | IQ4_XS | 6.54GB |
| Athena-v2.Q4_0.gguf | Q4_0 | 6.86GB |
| Athena-v2.IQ4_NL.gguf | IQ4_NL | 6.9GB |
| Athena-v2.Q4_K_S.gguf | Q4_K_S | 5.28GB |
| Athena-v2.Q4_K.gguf | Q4_K | 7.33GB |
| Athena-v2.Q4_K_M.gguf | Q4_K_M | 7.33GB |
| Athena-v2.Q4_1.gguf | Q4_1 | 7.61GB |
| Athena-v2.Q5_0.gguf | Q5_0 | 8.36GB |
| Athena-v2.Q5_K_S.gguf | Q5_K_S | 8.36GB |
| Athena-v2.Q5_K.gguf | Q5_K | 8.6GB |
| Athena-v2.Q5_K_M.gguf | Q5_K_M | 8.6GB |
| Athena-v2.Q5_1.gguf | Q5_1 | 9.1GB |
| Athena-v2.Q6_K.gguf | Q6_K | 9.95GB |
| Athena-v2.Q8_0.gguf | Q8_0 | 12.88GB |

Experimental Athena v2 model. Use Alpaca format.
<!-- description start -->Recommended settings - contributed by localfultonextractor
This repo contains fp16 files of Athena-V2.
OLD(GGUF - by IkariDev+Undi95)
Note: I have permission of all users to upload their ratings, i DONT screenshot random reviews without asking if i can put them here!





[Xwin (0.30) + ReMM v2.2 (0.70)](0.45) x [[Xwin (0.40) + MLewd v2-3 (0.60)](0.80) + [Slerpeno(0.50) + Magpie-13b(0.50)](0.20)](0.55)
<!-- description end -->
<!-- prompt-template start -->
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
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### Response:
HUGE thanks to Undi95 for doing the merging (Recipe was my idea, he merged)
To TheBloke: please if you quant this, please include IkariDev + Undi95 in all the credits/links to the creator.