Mistral 7B Instruct RR by GraySwanAI

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Mistral 7B Instruct RR is an open-source language model by GraySwanAI. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:2406.04313   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Instruct RR 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 RR Parameters and Internals

LLM NameMistral 7B Instruct RR
Repository 🤗https://huggingface.co/GraySwanAI/Mistral-7B-Instruct-RR 
Model Size7b
Required VRAM14.4 GB
Updated2026-04-14
MaintainerGraySwanAI
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

Best Alternatives to Mistral 7B Instruct RR

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...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB141
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...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 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB3818141829
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than GraySwanAI/Mistral-7B-Instruct-RR.

Rank the Mistral 7B Instruct RR 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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Release v20260328a