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Starling LM 7B Beta GGUF by AlekseyElygin

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Starling LM 7B Beta GGUF is an open-source language model by AlekseyElygin. Features: 7b LLM, VRAM: 4.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  4bit   Conversational   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/AlekseyElygin/Starling-LM-7B-beta-GGUF 

Starling LM 7B Beta GGUF Benchmarks

LLME Score: 0.14164
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starling LM 7B Beta GGUF (AlekseyElygin/Starling-LM-7B-beta-GGUF)
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Starling LM 7B Beta GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained using Unsloth and Huggingface's TRL library.
Supported Languages 
en (complete)
Training Details 
Training Time:
2x faster
LLM NameStarling LM 7B Beta GGUF
Repository 🤗https://huggingface.co/AlekseyElygin/Starling-LM-7B-beta-GGUF 
Base Model(s)  unsloth/starling-lm-7b-beta-bnb-4bit   unsloth/starling-lm-7b-beta-bnb-4bit
Model Size7b
Required VRAM4.4 GB
Updated2025-09-23
MaintainerAlekseyElygin
Model Typemistral
Model Files  14.5 GB   7.7 GB   4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than AlekseyElygin/Starling-LM-7B-beta-GGUF.

Rank the Starling LM 7B Beta 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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