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Mistral RealworldQA V0.2 7B SFT by InferenceIllusionist

 »  All LLMs  »  InferenceIllusionist  »  Mistral RealworldQA V0.2 7B SFT   URL Share it on

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  4bit   Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   Dataset:visheratin/realworldqa   En   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT 

Mistral RealworldQA V0.2 7B SFT Benchmarks

LLME Score: 0.18212
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral RealworldQA V0.2 7B SFT (InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT)

Mistral RealworldQA V0.2 7B SFT Parameters and Internals

Model Type 
text-generation-inference, transformers
Use Cases 
Primary Use Cases:
image captioning
Additional Notes 
The model can still be influenced to provide inaccurate outputs by the user.
Training Details 
Data Sources:
visheratin/realworldqa
Methodology:
Fine-tuning
Input Output 
Input Format:
Use Alpaca for best results
Release Notes 
Version:
v0.1
Notes:
Initial Release
Version:
v0.2
Notes:
Updating base model to official Mistral-7b fp16 release, refinements to dataset and instruction formatting
LLM NameMistral RealworldQA V0.2 7B SFT
Repository 🤗https://huggingface.co/InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT 
Base Model(s)  unsloth/mistral-7b-v0.2-bnb-4bit   unsloth/mistral-7b-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerInferenceIllusionist
Model Typemistral
Model Files  0.2 GB   0.6 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|4bit|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT.

Rank the Mistral RealworldQA V0.2 7B SFT 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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