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EM Mistral 7B V 0.4 by Klevin

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Mistral   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

EM Mistral 7B V 0.4 Benchmarks

LLME Score: 0.21457
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

EM Mistral 7B V 0.4 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (full)
LLM NameEM Mistral 7B V 0.4
Repository 🤗https://huggingface.co/Klevin/EM-Mistral-7b-v-0.4 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
MaintainerKlevin
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Vocabulary Size32768
Torch Data Typefloat16
EM Mistral 7B V 0.4 (Klevin/EM-Mistral-7b-v-0.4)

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Note: green Score (e.g. "73.2") means that the model is better than Klevin/EM-Mistral-7b-v-0.4.

Rank the EM Mistral 7B V 0.4 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 v20241110
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