Dolphin 2.9.1 Mistral 22B by theo77186

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Dolphin 2.9.1 Mistral 22B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.9.1 Mistral 22B (theo77186/dolphin-2.9.1-mistral-22b)

Dolphin 2.9.1 Mistral 22B Parameters and Internals

Additional Notes 
ChatML functionality is broken. Alpaca works despite not being specifically trained on it.
Training Details 
Data Sources:
GPT-4, among other models
Methodology:
Fully fine-tuned, targeting all layers. Extracted expert using SLERP.
Context Length:
64000
Training Time:
27 hours
Hardware Used:
8xH100 provided by Crusoe Cloud
Model Architecture:
Mixtral architecture with a single expert.
LLM NameDolphin 2.9.1 Mistral 22B
Repository ๐Ÿค—https://huggingface.co/theo77186/dolphin-2.9.1-mistral-22b 
Model Size22.2b
Required VRAM44.7 GB
Updated2024-12-22
Maintainertheo77186
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than theo77186/dolphin-2.9.1-mistral-22b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217