weighted/imatrix quants of https://huggingface.co/cognitivecomputations/Samantha-1.1-70b

The weights were calculated using 164k semi-random english tokens.

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## Provided Quants

| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 18.6 |  |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 20.7 |  |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-Q2_K.gguf) | i1-Q2_K | 25.8 |  |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.3 | fast, lower quality |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-Q3_K_XS.gguf) | i1-Q3_K_XS | 28.6 |  |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 30.2 |  |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 33.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 36.5 |  |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 39.6 | fast, medium quality |
| [GGUF](https://huggingface.co/mradermacher/Samantha-1.1-70b-i1-GGUF/resolve/main/Samantha-1.1-70b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 41.7 | fast, medium quality |

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{"library_name": "transformers"}
transformers gguf endpoints_compatible region:us