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Mistral 7B News Cnn Merged by shivam9980

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Mistral 7B News Cnn Merged is an open-source language model by shivam9980. Features: 7b LLM, VRAM: 0.3GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

  4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational Dataset:shivam9980/cnn-english...   En   Endpoints compatible   Instruct   Lora   Mistral   Model-index   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/shivam9980/mistral-7b-news-cnn-merged 

Mistral 7B News Cnn Merged Benchmarks

MMLU Pro: 20.31
GPQA: 7.83
MUSR: 15.67
BBH: 11.15
IFEval: 46.34 vs 88 (so35)-47.3%
MATH Lvl 5: 1.89
LLME Score: 0.17125
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B News Cnn Merged (shivam9980/mistral-7b-news-cnn-merged)
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Mistral 7B News Cnn Merged Parameters and Internals

LLM NameMistral 7B News Cnn Merged
Repository 🤗https://huggingface.co/shivam9980/mistral-7b-news-cnn-merged 
Base Model(s)  unsloth/mistral-7b-instruct-v0.2-bnb-4bit   unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size7b
Required VRAM0.3 GB
Updated2026-04-15
Maintainershivam9980
Instruction-BasedYes
Model Files  0.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|o_proj|gate_proj|v_proj|k_proj|up_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than shivam9980/mistral-7b-news-cnn-merged.

Rank the Mistral 7B News Cnn Merged 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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