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--- |
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license: cc-by-nc-4.0 |
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--- |
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Replaced Zephyr by Airoboros 2.2 and OpenOrca by SynthIA in the mix, the reason why is to see if using merged Mistral models using all the same prompt format would be a better step or not. |
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## Description |
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This repo contains fp16 files of Mistral-11B-SynthIAirOmniMix. |
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## Model used |
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- [SynthIA-7B-v1.5](https://huggingface.co/migtissera/SynthIA-7B-v1.5) |
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- [Mistral-7B-v0.1-Open-Platypus](https://huggingface.co/akjindal53244/Mistral-7B-v0.1-Open-Platypus) |
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- [CollectiveCognition-v1.1-Mistral-7B](https://huggingface.co/teknium/CollectiveCognition-v1.1-Mistral-7B) |
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- [airoboros-mistral2.2-7b](https://huggingface.co/teknium/airoboros-mistral2.2-7b) |
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## Prompt template |
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3 out of 4 models use the same prompting format in this merge. |
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The best one should be this one, since Zephyr and OpenOrca is out of the merge: |
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``` |
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(SYSTEM: {context}) - Not mandatory |
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USER: {prompt} |
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ASSISTANT: |
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``` |
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But this one (maybe) work too: |
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``` |
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Below is an instruction that describes a task. Write a response that appropriately completes the request. |
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### Instruction: |
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{prompt} |
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### Response: |
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``` |
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## The secret sauce |
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Mistral-11B-SynthIAOpenPlatypus : |
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``` |
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slices: |
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- sources: |
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- model: "/content/drive/MyDrive/SynthIA-7B-v1.5-bf16" |
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layer_range: [0, 24] |
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- sources: |
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- model: akjindal53244/Mistral-7B-v0.1-Open-Platypus |
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layer_range: [8, 32] |
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merge_method: passthrough |
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dtype: bfloat16 |
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``` |
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Mistral-11B-CC-Airo : |
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``` |
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slices: |
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- sources: |
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- model: "/content/drive/MyDrive/CC-v1.1-7B-bf16" |
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layer_range: [0, 24] |
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- sources: |
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- model: "/content/drive/MyDrive/Mistral-7B-Airoboros-2.2-bf16" |
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layer_range: [8, 32] |
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merge_method: passthrough |
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dtype: bfloat16 |
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``` |
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Mistral-11B-SynthIAirOmniMix : |
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``` |
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slices: |
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- sources: |
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- model: Mistral-11B-SynthIAOpenPlatypus |
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layer_range: [0, 48] |
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- model: Mistral-11B-CC-Airo |
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layer_range: [0, 48] |
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merge_method: slerp |
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base_model: Mistral-11B-OpenOrcaPlatypus |
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parameters: |
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t: |
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- filter: lm_head |
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value: [0.75] |
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- filter: embed_tokens |
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value: [0.75] |
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- filter: self_attn |
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value: [0.75, 0.25] |
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- filter: mlp |
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value: [0.25, 0.75] |
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- filter: layernorm |
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value: [0.5, 0.5] |
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- filter: modelnorm |
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value: [0.75] |
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- value: 0.5 # fallback for rest of tensors |
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dtype: bfloat16 |
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``` |
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I use [mergekit](https://github.com/cg123/mergekit) for all the manipulation told here. |
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## Some scoring I done myself |
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| Task |Version| Metric |Value | |Stderr| |
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|-------------|------:|--------|-----:|---|-----:| |
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|arc_challenge| 0|acc |0.5410|± |0.0146| |
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| | |acc_norm|0.5640|± |0.0145| |
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|arc_easy | 0|acc |0.8228|± |0.0078| |
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| | |acc_norm|0.8068|± |0.0081| |
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|hellaswag | 0|acc |0.6274|± |0.0048| |
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| | |acc_norm|0.8167|± |0.0039| |
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|piqa | 0|acc |0.8052|± |0.0092| |
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| | |acc_norm|0.8232|± |0.0089| |
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|truthfulqa_mc| 1|mc1 |0.3905|± |0.0171| |
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| | |mc2 |0.5592|± |0.0155| |
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|winogrande | 0|acc |0.7364|± |0.0124| |
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## Others |
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Special thanks to Sushi, [Henky](https://github.com/KoboldAI/KoboldAI-Client) for the machine he give me for big task, and [Charles Goddard](https://github.com/cg123) for his amazing tool. |
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If you want to support me, you can [here](https://ko-fi.com/undiai). |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_NeverSleep__Mistral-11B-SynthIAirOmniMix) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 54.56 | |
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| ARC (25-shot) | 62.46 | |
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| HellaSwag (10-shot) | 83.13 | |
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| MMLU (5-shot) | 63.47 | |
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| TruthfulQA (0-shot) | 55.69 | |
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| Winogrande (5-shot) | 76.4 | |
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| GSM8K (5-shot) | 11.9 | |
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| DROP (3-shot) | 28.88 | |
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