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speechlessai/speechless-mistral-7b-dare-0.85
speechless-mistral-7b-dare-0.85 is a text generation model from speechlessai. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
AWQ model(s) for GPU inference. GPTQ models for GPU inference, with multiple quantisation parameter options. 2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference
Downloads · 30 days
63
0% of all-time downloads
All-time downloads
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15 GB on disk
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.safetensors15 GB · 100%
How the weights are stored.
BF167B · 96%
From the Hugging Face model README
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 |