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---
base_model_relation: quantized
quantized_by: Quant-Cartel
base_model: rAIfle/Acolyte-22B
---
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PROUDLY PRESENTS
```
# 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. |