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Trinity Notus Xb by powermove72

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  Merged Model   Argilla/notus-7b-v1   Autotrain compatible   Base model:argilla/notus-7b-v1 Base model:finetune:argilla/no...   Endpoints compatible   Janai-hq/trinity-v1   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/powermove72/Trinity_Notus-xb 

Trinity Notus Xb Benchmarks

LLME Score: 0.2034
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trinity Notus Xb (powermove72/Trinity_Notus-xb)

Trinity Notus Xb Parameters and Internals

Additional Notes 
Trinity_Notus-xb is a merge of two models (janai-hq/trinity-v1 and argilla/notus-7b-v1) using LazyMergekit. The configuration uses a slice method with passthrough merge and dtype set to float16.
LLM NameTrinity Notus Xb
Repository 🤗https://huggingface.co/powermove72/Trinity_Notus-xb 
Base Model(s)  Trinity V1   Notus 7B V1   janai-hq/trinity-v1   argilla/notus-7b-v1
Merged ModelYes
Model Size7b
Required VRAM22.5 GB
Updated2024-12-27
Maintainerpowermove72
Model Typemistral
Model Files  1.0 GB: 1-of-23   0.9 GB: 2-of-23   1.0 GB: 3-of-23   1.0 GB: 4-of-23   1.0 GB: 5-of-23   0.9 GB: 6-of-23   1.0 GB: 7-of-23   1.0 GB: 8-of-23   1.0 GB: 9-of-23   1.0 GB: 10-of-23   1.0 GB: 11-of-23   1.0 GB: 12-of-23   1.0 GB: 13-of-23   1.0 GB: 14-of-23   1.0 GB: 15-of-23   1.0 GB: 16-of-23   1.0 GB: 17-of-23   0.9 GB: 18-of-23   1.0 GB: 19-of-23   1.0 GB: 20-of-23   1.0 GB: 21-of-23   0.9 GB: 22-of-23   0.9 GB: 23-of-23
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than powermove72/Trinity_Notus-xb.

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Release v20241227
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