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Conversely Mistral 7B by theprint

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Conversely Mistral 7B is an open-source language model by theprint. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.22.

  4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   Conversely   Dataset:theprint/conversely   En   Endpoints compatible   Gguf   Lora   Mistral   Model-index   Quantized   Region:us   Safetensors   Theprint   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/theprint/Conversely-Mistral-7B 

Conversely Mistral 7B Benchmarks

MMLU Pro: 20.29
GPQA: 4.7
MUSR: 10.63
BBH: 25.71
IFEval: 26.08 vs 88 (so35)-70.4%
MATH Lvl 5: 2.79
LLME Score: 0.22374
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Conversely Mistral 7B (theprint/Conversely-Mistral-7B)
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Conversely Mistral 7B Parameters and Internals

LLM NameConversely Mistral 7B
Repository 🤗https://huggingface.co/theprint/Conversely-Mistral-7B 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM0.2 GB
Updated2026-03-14
Maintainertheprint
Model Files  14.5 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   6.0 GB   7.7 GB   0.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModel
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|down_proj|k_proj|o_proj|up_proj|v_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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WizardLM 2 7B GGUF0K / 2.7 GB8070983
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB77323499
CleverBoi 7B V20K / 0.1 GB5710
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB390
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Llama 2 7B Chat GGUF0K / 2.8 GB72367492
Qwen2 7B Instruct V0.1 GGUF0K / 4.5 GB97140
Note: green Score (e.g. "73.2") means that the model is better than theprint/Conversely-Mistral-7B.

Rank the Conversely Mistral 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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