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OpenCarrot Mix 7B by CarrotAI

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OpenCarrot Mix 7B is an open-source language model by CarrotAI. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:2203.05482   Autotrain compatible Base model:amazingvince/not-wi... Base model:finetune:amazingvin...   En   Endpoints compatible   Instruct   Ko   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CarrotAI/OpenCarrot-Mix-7B 

OpenCarrot Mix 7B Benchmarks

LLME Score: 0.13869
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCarrot Mix 7B (CarrotAI/OpenCarrot-Mix-7B)
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OpenCarrot Mix 7B Parameters and Internals

Model Type 
merged model
Additional Notes 
This is a merge of pre-trained language models using mergekit.
Supported Languages 
ko (unknown), en (unknown)
LLM NameOpenCarrot Mix 7B
Repository 🤗https://huggingface.co/CarrotAI/OpenCarrot-Mix-7B 
Base Model(s)  Not WizardLM 2 7B   CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2   amazingvince/Not-WizardLM-2-7B   CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerCarrotAI
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesko en
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Mixtral AI CyberCoder32K / 14.3 GB00
Seed X Instruct 7B32K / 15 GB1510123
Note: green Score (e.g. "73.2") means that the model is better than CarrotAI/OpenCarrot-Mix-7B.

Rank the OpenCarrot Mix 7B 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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