metadata
license: apache-2.0
pipeline_tag: text-generation
library_name: gguf
base_model: Vezora/Mistral-22B-v0.2
About
static quantize of https://huggingface.co/Vezora/Mistral-22B-v0.2 iQ Quants can be found here(Richard Erkhov's work): https://huggingface.co/RichardErkhov/Vezora_-_Mistral-22B-v0.2-gguf
Provided Quants
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Mistral-22B-v0.2-Q5_K_M.gguf | Q5_K_M | 15.71GB | High quality, recommended. |
| Mistral-22B-v0.2-Q4_K_M.gguf | Q4_K_M | 13.33GB | Good quality, uses about 4.83 bits per weight, recommended. |
| Mistral-22B-v0.2-Q4_K_S.gguf | Q4_K_S | 12.65GB | Slightly lower performance than Q4_K_M, fastest, best choice for 16G RAM devices, recommended. |
| Mistral-22B-v0.2-Q3_K_M.gguf | Q3_K_M | 10.75GB | Even lower quality. |
| Mistral-22B-v0.2-Q2_K.gguf | Q2_K | 8.26GB | Very low quality. |