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README.md

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+---
+license: cc-by-nc-4.0
+base_model_relation: quantized
+quantized_by: Quant-Cartel
+base_model: rAIfle/Acolyte-22B
+
+---
+```
+  e88 88e                               d8     
+ d888 888b  8888 8888  ,"Y88b 888 8e   d88     
+C8888 8888D 8888 8888 "8" 888 888 88b d88888   
+ Y888 888P  Y888 888P ,ee 888 888 888  888     
+  "88 88"    "88 88"  "88 888 888 888  888     
+      b                                        
+      8b,                                      
+ 
+  e88'Y88                  d8           888    
+ d888  'Y  ,"Y88b 888,8,  d88    ,e e,  888    
+C8888     "8" 888 888 "  d88888 d88 88b 888    
+ Y888  ,d ,ee 888 888     888   888   , 888    
+  "88,d88 "88 888 888     888    "YeeP" 888    
+                                               
+PROUDLY PRESENTS         
+```
+# rAIfle/Acolyte-22B-exl2-longcal
+
+Quantized using 115 rows of 8192 tokens from the default ExLlamav2-calibration dataset.
+
+Branches:
+- `main` -- `measurement.json`
+- 8b8h -- 8bpw, 8bit lm_head
+- 4.63b6h -- 4.63bpw, 6bit lm_head
+- 3.09b6h -- 3.09bpw, 6bit lm_head
+- 2.32b6h -- 2.32bpw, 6bit lm_head
+
+Original model link: [rAIfle/Acolyte-22B](https://huggingface.co/rAIfle/Acolyte-22B)
+
+Original model README below.
+
+-----
+# Acolyte-22B
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6569a4ed2419be6072890cf8/3dcGMcrWK2-2vQh9QBt3o.png)
+
+LoRA of a bunch of random datasets on top of Mistral-Small-Instruct-2409, then SLERPed onto base at 0.5. Decent enough for its size.
+Check the [LoRA](https://huggingface.co/rAIfle/Acolyte-LORA) for dataset info.
+
+Use `Mistral V2 & V3` template.