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--- |
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license: cc-by-nc-4.0 |
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--- |
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This model should be fixed, it was MEANT to be BF16. |
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Don't mind this one at the moment, I need to finetune it for RP, it's just a test. |
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## Description |
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This repo contains fp16 files of Mistral-11B-OmniMix. |
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My goal for this model was only to make it score the highest possible with merge and layer toying, proving that: |
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- Benchmark are objective |
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- You should try a model yourself and don't go blindly to the highest rated one |
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- Merge/Layer toying CAN be usable to do better model (maybe?) |
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## Model used |
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- [Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) |
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- [Mistral-7B-v0.1-Open-Platypus](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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- [zephyr-7b-alpha](HuggingFaceH4/zephyr-7b-alpha) |
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## Prompt template: Alpaca or default |
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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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``` |
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USER: <prompt> |
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ASSISTANT: |
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``` |
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Or use any prompting system from one of the 4 source model, should work. |
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## The secret sauce |
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Mistral-11B-OpenOrcaPlatypus : |
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``` |
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slices: |
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- sources: |
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- model: Open-Orca/Mistral-7B-OpenOrca |
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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-Zephyr : |
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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/Zephyr-7B" |
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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-OmniMix : |
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``` |
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slices: |
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- sources: |
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- model: Mistral-11B-OpenOrcaPlatypus |
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layer_range: [0, 48] |
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- model: Mistral-11B-CC-Zephyr |
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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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hf-causal-experimental (pretrained=/content/drive/MyDrive/Mistral-11B-OmniMix-bf16), limit: None, provide_description: False, num_fewshot: 0, batch_size: 4 |
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| Task |Version| Metric |Value | |Stderr| |
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|-------------|------:|--------|-----:|---|-----:| |
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|arc_challenge| 0|acc |0.5580|± |0.0145| |
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| | |acc_norm|0.5819|± |0.0144| |
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|arc_easy | 0|acc |0.8300|± |0.0077| |
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| | |acc_norm|0.8211|± |0.0079| |
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|hellaswag | 0|acc |0.6372|± |0.0048| |
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| | |acc_norm|0.8209|± |0.0038| |
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|piqa | 0|acc |0.8145|± |0.0091| |
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| | |acc_norm|0.8286|± |0.0088| |
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|truthfulqa_mc| 1|mc1 |0.3978|± |0.0171| |
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| | |mc2 |0.5680|± |0.0155| |
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|winogrande | 0|acc |0.7427|± |0.0123| |
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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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