初始化项目，由ModelHub XC社区提供模型
Model: NeverSleep/Mistral-11B-AirOmniMix Source: Original Platform
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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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Replaced Zephyr by Airoboros 2.2 in the mix.
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## Description
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This repo contains fp16 files of Mistral-11B-AirOmniMix.
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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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- [airoboros-mistral2.2-7b](https://huggingface.co/teknium/airoboros-mistral2.2-7b)
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## Prompt template
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The best one after further testing is this one, since Zephyr is out of the merge:
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```
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USER: <prompt>
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ASSISTANT:
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```
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But this 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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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-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-AirOmniMix :
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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-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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hf-causal-experimental (pretrained=/content/drive/MyDrive/Mistral-11B-AirOmniMix), 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 |0.5452|± |0.0146|
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| | |acc_norm|0.5836|± |0.0144|
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|arc_easy | 0|acc |0.8321|± |0.0077|
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| | |acc_norm|0.8119|± |0.0080|
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|hellaswag | 0|acc |0.6381|± |0.0048|
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| | |acc_norm|0.8250|± |0.0038|
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|piqa | 0|acc |0.8096|± |0.0092|
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| | |acc_norm|0.8243|± |0.0089|
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|truthfulqa_mc| 1|mc1 |0.3941|± |0.0171|
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| | |mc2 |0.5606|± |0.0155|
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|winogrande | 0|acc |0.7395|± |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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config.json
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{
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"_name_or_path": "Undi95/Mistral-11B-OpenOrcaPlatypus",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 32000,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"transformers_version": "4.35.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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