--- license: cc-by-nc-4.0 --- Replaced Zephyr by Airoboros 2.2 in the mix. ## Description This repo contains fp16 files of Mistral-11B-AirOmniMix. ## Model used - [Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) - [Mistral-7B-v0.1-Open-Platypus](https://huggingface.co/akjindal53244/Mistral-7B-v0.1-Open-Platypus) - [CollectiveCognition-v1.1-Mistral-7B](https://huggingface.co/teknium/CollectiveCognition-v1.1-Mistral-7B) - [airoboros-mistral2.2-7b](https://huggingface.co/teknium/airoboros-mistral2.2-7b) ## Prompt template The best one after further testing is this one, since Zephyr is out of the merge: ``` USER: ASSISTANT: ``` But this one work too: ``` Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response: ``` Or use any prompting system from one of the 4 source model, should work. ## The secret sauce Mistral-11B-OpenOrcaPlatypus : ``` slices: - sources: - model: Open-Orca/Mistral-7B-OpenOrca layer_range: [0, 24] - sources: - model: akjindal53244/Mistral-7B-v0.1-Open-Platypus layer_range: [8, 32] merge_method: passthrough dtype: bfloat16 ``` Mistral-11B-CC-Airo : ``` slices: - sources: - model: "/content/drive/MyDrive/CC-v1.1-7B-bf16" layer_range: [0, 24] - sources: - model: "/content/drive/MyDrive/Mistral-7B-Airoboros-2.2-bf16" layer_range: [8, 32] merge_method: passthrough dtype: bfloat16 ``` Mistral-11B-AirOmniMix : ``` slices: - sources: - model: Mistral-11B-OpenOrcaPlatypus layer_range: [0, 48] - model: Mistral-11B-CC-Airo layer_range: [0, 48] merge_method: slerp base_model: Mistral-11B-OpenOrcaPlatypus parameters: t: - filter: lm_head value: [0.75] - filter: embed_tokens value: [0.75] - filter: self_attn value: [0.75, 0.25] - filter: mlp value: [0.25, 0.75] - filter: layernorm value: [0.5, 0.5] - filter: modelnorm value: [0.75] - value: 0.5 # fallback for rest of tensors dtype: bfloat16 ``` I use [mergekit](https://github.com/cg123/mergekit) for all the manipulation told here. ## Some scoring I done myself hf-causal-experimental (pretrained=/content/drive/MyDrive/Mistral-11B-AirOmniMix), limit: None, provide_description: False, num_fewshot: 0, batch_size: 4 | Task |Version| Metric |Value | |Stderr| |-------------|------:|--------|-----:|---|-----:| |arc_challenge| 0|acc |0.5452|± |0.0146| | | |acc_norm|0.5836|± |0.0144| |arc_easy | 0|acc |0.8321|± |0.0077| | | |acc_norm|0.8119|± |0.0080| |hellaswag | 0|acc |0.6381|± |0.0048| | | |acc_norm|0.8250|± |0.0038| |piqa | 0|acc |0.8096|± |0.0092| | | |acc_norm|0.8243|± |0.0089| |truthfulqa_mc| 1|mc1 |0.3941|± |0.0171| | | |mc2 |0.5606|± |0.0155| |winogrande | 0|acc |0.7395|± |0.0123| ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/rnraBZz-I9CUD1GVNVF00.png) ## Others 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. If you want to support me, you can [here](https://ko-fi.com/undiai).