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Tools Mistral 16bit Merged New by lukaskellerstein

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  Merged Model   Arxiv:1910.09700   16bit   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Tools Mistral 16bit Merged New Benchmarks

LLME Score: 0.22632
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tools Mistral 16bit Merged New Parameters and Internals

LLM NameTools Mistral 16bit Merged New
Repository 🤗https://huggingface.co/lukaskellerstein/tools-mistral-16bit-merged-new 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-09-07
Maintainerlukaskellerstein
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Quantization Type16bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32769
Torch Data Typefloat16
Tools Mistral 16bit Merged New (lukaskellerstein/tools-mistral-16bit-merged-new)

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Note: green Score (e.g. "73.2") means that the model is better than lukaskellerstein/tools-mistral-16bit-merged-new.

Rank the Tools Mistral 16bit Merged New Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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