|
--- |
|
license: llama2 |
|
--- |
|
* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/speechless-mistral-7B-dare-0.85-AWQ) |
|
* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/speechless-mistral-7B-dare-0.85-GPTQ) |
|
* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/speechless-mistral-7B-dare-0.85-GGUF) |
|
|
|
Experiment for DARE(Drop and REscale), most of the delta parameters can be directly set to zeros without affecting the capabilities of SFT LMs and larger models can tolerate a higher proportion of discarded parameters. |
|
|
|
Merged with below DARE models. |
|
|
|
weight_mask_rate: 0.85 / use_weight_rescale: True / mask_stratery: random / scaling_coefficient: 1.0 |
|
|
|
| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | |
|
| ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | |
|
| Intel/neural-chat-7b-v3-1 | 61.59 | 66.21 | 83.64 | 62.37 | 59.65 | 78.14 | 19.56 | |
|
| migtissera/SynthIA-7B-v1.3 | 59.34 | 62.12 | 83.45 | 62.65 | 51.37 | 78.85 | 17.59 | |
|
| bhenrym14/mistral-7b-platypus-fp16 | 58.71 | 63.05 | 84.15 | 64.11 | 45.07 | 78.53 | 17.36 | |
|
| jondurbin/airoboros-m-7b-3.1.2 | 58.75 | 61.86 | 83.51 | 61.91 | 53.75 | 77.58 | 13.87 | |
|
| teknium/CollectiveCognition-v1.1-Mistral-7B | 62.92 | 62.12 | 84.17 | 62.35 | 57.62 | 75.37 | 15.62 | |
|
| uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b | 62.06 | 64.33 | 84.4 | 63.72 | 52.52 | 78.37 | 21.38 | |
|
| | | | | | | | | |
|
| speechless-mistral-7b-dare-0.85 (Merge 6 DARE models) | 64.69 | 63.57 | 84.82 | 64.29 | 50.66 | 79.24 | 45.56 | |
|
|
