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exl2 version of [Undi95/Mistral-11B-TestBench3](https://huggingface.co/Undi95/Mistral-11B-TestBench3)
dataset : [wikitext](https://huggingface.co/datasets/wikitext)
command : python convert.py -i models/Undi95_Mistral-11B-TestBench3 -o Undi95_Mistral-11B-TestBench3-temp -cf Undi95_Mistral-11B-TestBench3-4.0bpw-h8-exl2 -c 0000.parquet -l 4096 -b 4 -hb 8 -ss 4096
Under this sentence is original model card.
```
slices:
- sources:
- model: Norquinal/Mistral-7B-claude-chat
layer_range: [0, 24]
- sources:
- model: Open-Orca/Mistral-7B-OpenOrca
layer_range: [8, 32]
merge_method: passthrough
dtype: float16
========================================================
slices:
- sources:
- model: Undi95/Mistral-11B-CC-Air
layer_range: [0, 48]
- model: "/content/drive/MyDrive/Mistral-11B-ClaudeOrca"
layer_range: [0, 48]
merge_method: slerp
base_model: Undi95/Mistral-11B-CC-Air
parameters:
t:
- value: 0.5 # fallback for rest of tensors
dtype: float16
```
hf-causal-experimental (pretrained=/content/drive/MyDrive/Mistral-11B-Test), limit: None, provide_description: False, num_fewshot: 0, batch_size: 4
| Task |Version| Metric |Value | |Stderr|
|-------------|------:|--------|-----:|---|-----:|
|arc_challenge| 0|acc |0.5401|± |0.0146|
| | |acc_norm|0.5589|± |0.0145|
|arc_easy | 0|acc |0.8199|± |0.0079|
| | |acc_norm|0.8127|± |0.0080|
|hellaswag | 0|acc |0.6361|± |0.0048|
| | |acc_norm|0.8202|± |0.0038|
|piqa | 0|acc |0.8079|± |0.0092|
| | |acc_norm|0.8199|± |0.0090|
|truthfulqa_mc| 1|mc1 |0.3733|± |0.0169|
| | |mc2 |0.5374|± |0.0156|
|winogrande | 0|acc |0.7261|± |0.0125|
|