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Starling LM 7B Alpha GGUF by MaziyarPanahi

 »  All LLMs  »  MaziyarPanahi  »  Starling LM 7B Alpha GGUF   URL Share it on

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  Arxiv:2306.02231   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:berkeley-nest/starl... Base model:quantized:berkeley-...   Conversational   Dataset:berkeley-nest/nectar   En   Endpoints compatible   Gguf   Has space   Mistral   Quantized   Region:us   Reward model   Rlaif   Rlhf   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Starling-LM-7B-alpha-GGUF 

Starling LM 7B Alpha GGUF Benchmarks

LLME Score: 0.16609
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 Alpha GGUF (MaziyarPanahi/Starling-LM-7B-alpha-GGUF)

Starling LM 7B Alpha GGUF Parameters and Internals

Model Type 
text-generation, reward model, RLHF, RLAIF
Additional Notes 
The model supports various quantization formats such as 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit. It is in GGUF format, a new format introduced on August 21st, 2023, as a replacement for the unsupported GGML format.
Supported Languages 
en (proficient)
LLM NameStarling LM 7B Alpha GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Starling-LM-7B-alpha-GGUF 
Model NameStarling-LM-7B-alpha-GGUF
Model Creatorberkeley-nest
Base Model(s)  Starling LM 7B Alpha   berkeley-nest/Starling-LM-7B-alpha
Model Size7b
Required VRAM2.7 GB
Updated2025-02-23
MaintainerMaziyarPanahi
Model Typemistral
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
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 MaziyarPanahi/Starling-LM-7B-alpha-GGUF.

Rank the Starling LM 7B Alpha 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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Release v20241227
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