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E.star.7B Gguf by gate369

 »  All LLMs  »  gate369  »  E.star.7B Gguf   URL Share it on

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Base model:quantized:yam-peleg... Base model:yam-peleg/experimen...   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/gate369/e.star.7b-gguf 

E.star.7B Gguf Benchmarks

LLME Score: 0.18458
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
E.star.7B Gguf (gate369/e.star.7b-gguf)

E.star.7B Gguf Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Additional Notes 
This is a mistral model trained with the Unsloth technology.
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameE.star.7B Gguf
Repository 🤗https://huggingface.co/gate369/e.star.7b-gguf 
Base Model(s)  Experiment26 7B   yam-peleg/Experiment26-7B
Model Size7b
Required VRAM4.4 GB
Updated2024-12-22
Maintainergate369
Model Typemistral
Model Files  4.4 GB   14.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than gate369/e.star.7b-gguf.

Rank the E.star.7B Gguf 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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