Mistral 7B Instruct V0.3 Fp16 Onnx by aless2212

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  Autotrain compatible   Conversational   Endpoints compatible   Fp16   Instruct   Mistral   Onnx   Quantized   Region:us

Mistral 7B Instruct V0.3 Fp16 Onnx Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.3 Fp16 Onnx (aless2212/Mistral-7B-Instruct-v0.3-fp16-onnx)

Mistral 7B Instruct V0.3 Fp16 Onnx Parameters and Internals

LLM NameMistral 7B Instruct V0.3 Fp16 Onnx
Repository ๐Ÿค—https://huggingface.co/aless2212/Mistral-7B-Instruct-v0.3-fp16-onnx 
Base Model(s)  neuralmagic/Mistral-7B-Instruct-v0.3-FP8   neuralmagic/Mistral-7B-Instruct-v0.3-FP8
Model Size7b
Updated2025-02-01
Maintaineraless2212
Model Typemistral
Instruction-BasedYes
Quantization Typefp16
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than aless2212/Mistral-7B-Instruct-v0.3-fp16-onnx.

Rank the Mistral 7B Instruct V0.3 Fp16 Onnx Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227