exl2 version of Undi95/Mistral-11B-TestBench3
dataset : 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 |
