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Model: NeverSleep/Mistral-11B-OmniMix-bf16 Source: Original Platform
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README.md
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README.md
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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-bf16.
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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](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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- [zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha)
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## Prompt template
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The best one after further testing is this one:
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```
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<|system|>
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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<|user|>
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{prompt}
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<|assistant|>
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```
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But these one 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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```
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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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