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Starling LM 7B Alpha GGUF by TheBloke

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

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  Arxiv:2306.02231 Base model:berkeley-nest/starl... Base model:quantized:berkeley-...   Dataset:berkeley-nest/nectar   En   Gguf   Mistral   Quantized   Region:us   Reward model   Rlaif   Rlhf
Model Card on HF 🤗: https://huggingface.co/TheBloke/Starling-LM-7B-alpha-GGUF 

Starling LM 7B Alpha GGUF Benchmarks

LLME Score: 0.17279
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 (TheBloke/Starling-LM-7B-alpha-GGUF)

Starling LM 7B Alpha GGUF Parameters and Internals

Model Type 
Language Model, RLHF, RLAIF
Use Cases 
Areas:
Research
Applications:
Chatbots
Primary Use Cases:
Language generation, Interactive systems
Limitations:
Commercial use not allowed
Additional Notes 
The model is quantized for GGUF compatibility.
Supported Languages 
en (High proficiency)
Training Details 
Data Sources:
berkeley-nest/Nectar
Methodology:
Reinforcement Learning from AI Feedback
Hardware Used:
Massed Compute
Model Architecture:
Mistral-7B-v0.1
Input Output 
Input Format:
OpenChat template
Accepted Modalities:
text
Output Format:
text
LLM NameStarling LM 7B Alpha GGUF
Repository 🤗https://huggingface.co/TheBloke/Starling-LM-7B-alpha-GGUF 
Model NameStarling LM 7B Alpha
Model CreatorBerkeley-Nest
Base Model(s)  Starling LM 7B Alpha   berkeley-nest/Starling-LM-7B-alpha
Model Size7b
Required VRAM3.1 GB
Updated2025-02-23
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-4.0

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

Rank the Starling LM 7B Alpha GGUF Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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