Mistral Wikitable FV by moetezsa

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Mistral Wikitable FV is an open-source language model by moetezsa. Features: 7b LLM, VRAM: 0.3GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4bit   Adapter Base model:adapter:unsloth/mis... Base model:unsloth/mistral-7b-...   Finetuned   Generated from trainer   Instruct   Lora   Peft   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

Mistral Wikitable FV Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Wikitable FV Parameters and Internals

Model Type 
trl, sft, unsloth, generated_from_trainer
Additional Notes 
This model provides insights into its training procedure including hyperparameters and performance metrics through epochs.
LLM NameMistral Wikitable FV
Repository 🤗https://huggingface.co/moetezsa/mistral_wikitable_FV 
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
Updated2026-04-24
Maintainermoetezsa
Instruction-BasedYes
Model Files  0.3 GB   0.0 GB
Quantization Type4bit
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|k_proj|down_proj|up_proj|o_proj|gate_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param32

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Mistral 7B Instruct Sa V0.10K / 0 GB90
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Note: green Score (e.g. "73.2") means that the model is better than moetezsa/mistral_wikitable_FV.

Rank the Mistral Wikitable FV 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