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RichardErkhov/athirdpath_-_Hestia-20b-gguf
athirdpath_-_Hestia-20b-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
13
4% of all-time downloads
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.gguf262 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Hestia-20b - GGUF
| Name | Quant method | Size |
|---|---|---|
| Hestia-20b.Q2_K.gguf | Q2_K | 6.91GB |
| Hestia-20b.IQ3_XS.gguf | IQ3_XS | 7.63GB |
| Hestia-20b.IQ3_S.gguf | IQ3_S | 8.06GB |
| Hestia-20b.Q3_K_S.gguf | Q3_K_S | 8.06GB |
| Hestia-20b.IQ3_M.gguf | IQ3_M | 8.53GB |
| Hestia-20b.Q3_K.gguf | Q3_K | 9.04GB |
| Hestia-20b.Q3_K_M.gguf | Q3_K_M | 9.04GB |
| Hestia-20b.Q3_K_L.gguf | Q3_K_L | 9.9GB |
| Hestia-20b.IQ4_XS.gguf | IQ4_XS | 10.01GB |
| Hestia-20b.Q4_0.gguf | Q4_0 | 10.52GB |
| Hestia-20b.IQ4_NL.gguf | IQ4_NL | 10.57GB |
| Hestia-20b.Q4_K_S.gguf | Q4_K_S | 10.59GB |
| Hestia-20b.Q4_K.gguf | Q4_K | 11.22GB |
| Hestia-20b.Q4_K_M.gguf | Q4_K_M | 11.22GB |
| Hestia-20b.Q4_1.gguf | Q4_1 | 11.67GB |
| Hestia-20b.Q5_0.gguf | Q5_0 | 12.83GB |
| Hestia-20b.Q5_K_S.gguf | Q5_K_S | 12.83GB |
| Hestia-20b.Q5_K.gguf | Q5_K | 13.18GB |
| Hestia-20b.Q5_K_M.gguf | Q5_K_M | 13.18GB |
| Hestia-20b.Q5_1.gguf | Q5_1 | 13.98GB |
| Hestia-20b.Q6_K.gguf | Q6_K | 15.28GB |
| Hestia-20b.Q8_0.gguf | Q8_0 | 19.79GB |
This is a task_arithmetic merge of Harmonia (my 20b faux base model) with Noromaid and my LORA-glued Nethena. Solidly outperforms Harmonia.
merge_method: task_arithmetic
base_model: athirdpath/Harmonia-20b
models:
model: athirdpath/Harmonia-20b
model: NeverSleep/Noromaid-20b-v0.1.1
model: athirdpath/Nethena-20b-Glued
dtype: float16
Thanks to Undi95 for pioneering the 20B recipe, and for most of the models involved.