Starling LM 7B Alpha AWQ by TheBloke

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  Arxiv:2306.02231   4-bit   Autotrain compatible   Awq Base model:berkeley-nest/starl... Base model:quantized:berkeley-...   Conversational   Dataset:berkeley-nest/nectar   En   Mistral   Quantized   Region:us   Reward model   Rlaif   Rlhf   Safetensors

Starling LM 7B Alpha AWQ Benchmarks

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 AWQ (TheBloke/Starling-LM-7B-alpha-AWQ)

Starling LM 7B Alpha AWQ Parameters and Internals

Model Type 
mistral, language model, reward model, RLHF, RLAIF
Use Cases 
Primary Use Cases:
Language modeling, Chatbot applications
Limitations:
Non-commercial use only
Additional Notes 
Compatible with text-generation-webui using Loader: AutoAWQ. Starling-7B-alpha scores well in multiple performance benchmarks including MT Bench.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
berkeley-nest/Nectar, openchat/openchat_3.5
Methodology:
Advantage-induced policy alignment (APA), C-RLFT, RLHF/RLAIF
Context Length:
4096
Model Architecture:
Derived from Mistral-7B-v0.1
Input Output 
Input Format:
GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Make sure to use the latest versions of compatibility software for optimal performance.
LLM NameStarling LM 7B Alpha AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Starling-LM-7B-alpha-AWQ 
Model NameStarling LM 7B Alpha
Model CreatorBerkeley-Nest
Base Model(s)  Starling LM 7B Alpha   berkeley-nest/Starling-LM-7B-alpha
Model Size7b
Required VRAM4.2 GB
Updated2024-12-21
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_turn|>
Vocabulary Size32002
Torch Data Typefloat16

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

Rank the Starling LM 7B Alpha AWQ 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 v20241217