Mistral 7B Finetuned Wiki by Abhinit

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Mistral 7B Finetuned Wiki is an open-source language model by Abhinit. Features: 7b LLM, VRAM: 0.3GB, Context: 0.5K, Fine-Tuned, LLM Explorer Score: 0.19.

  Endpoints compatible   Finetuned   Generated from trainer   Mistral   Region:us   Safetensors   Tensorboard

Mistral 7B Finetuned Wiki 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 Finetuned Wiki Parameters and Internals

LLM NameMistral 7B Finetuned Wiki
Repository 🤗https://huggingface.co/Abhinit/mistral-7b-finetuned-wiki 
Model Size7b
Required VRAM0.3 GB
Updated2026-05-22
MaintainerAbhinit
Model Typemistral
Model Files  0.3 GB   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length512
Model Max Length512
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32000
Torch Data Typefloat32

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MegaBeam Mistral 7B 300K282K / 14.4 GB377916
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Hebrew Mistral 7B 200K256K / 30 GB137815
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than Abhinit/mistral-7b-finetuned-wiki.

Rank the Mistral 7B Finetuned Wiki 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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Release v20260328a