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Mistral 7B Instruct SLiC HF by princeton-nlp

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Mistral 7B Instruct SLiC HF is an open-source language model by princeton-nlp. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.19.

  Arxiv:2405.14734   Conversational   Deploy:azure   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/princeton-nlp/Mistral-7B-Instruct-SLiC-HF 

Mistral 7B Instruct SLiC HF Benchmarks

LLME Score: 0.18508
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 SLiC HF (princeton-nlp/Mistral-7B-Instruct-SLiC-HF)
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Mistral 7B Instruct SLiC HF Parameters and Internals

LLM NameMistral 7B Instruct SLiC HF
Repository 🤗https://huggingface.co/princeton-nlp/Mistral-7B-Instruct-SLiC-HF 
Model Size7b
Required VRAM14.4 GB
Updated2026-05-24
Maintainerprinceton-nlp
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB241
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB31562273149
Mistral 7B Instruct V0.132K / 14.4 GB3024581833
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mistral Sk 7B Alpaca Slovak It32K / 13.4 GB4660
Note: green Score (e.g. "73.2") means that the model is better than princeton-nlp/Mistral-7B-Instruct-SLiC-HF.

Rank the Mistral 7B Instruct SLiC HF 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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