README.md

---
license: llama2
model-index:
- name: speechless-mistral-7b-dare-0.85
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 63.31
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 84.93
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 64.22
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 50.68
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 79.32
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 19.86
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
      name: Open LLM Leaderboard
---
* [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**  |

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_speechlessai__speechless-mistral-7b-dare-0.85)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |60.39|
|AI2 Reasoning Challenge (25-Shot)|63.31|
|HellaSwag (10-Shot)              |84.93|
|MMLU (5-Shot)                    |64.22|
|TruthfulQA (0-shot)              |50.68|
|Winogrande (5-shot)              |79.32|
|GSM8k (5-shot)                   |19.86|