Mistroll 7B V2.3 NoTsOsm4rt 16bit by BarraHome

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  16bit   Autotrain compatible Base model:barrahome/mistroll-... Base model:finetune:barrahome/...   Conversational   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Mistroll 7B V2.3 NoTsOsm4rt 16bit Benchmarks

Mistroll 7B V2.3 NoTsOsm4rt 16bit Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameMistroll 7B V2.3 NoTsOsm4rt 16bit
Repository ๐Ÿค—https://huggingface.co/BarraHome/Mistroll-7B-v2.3-NoTsOsm4rt-16bit 
Base Model(s)  BarraHome/Mistroll-7B-v2.2   BarraHome/Mistroll-7B-v2.2
Model Size7b
Required VRAM14.4 GB
Updated2024-11-20
MaintainerBarraHome
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type16bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Mistroll 7B V2.3 NoTsOsm4rt 16bit (BarraHome/Mistroll-7B-v2.3-NoTsOsm4rt-16bit)

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Note: green Score (e.g. "73.2") means that the model is better than BarraHome/Mistroll-7B-v2.3-NoTsOsm4rt-16bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110