Starling LM 7B Beta GPTQ by MaziyarPanahi

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Starling LM 7B Beta GPTQ is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 4.2GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  Arxiv:1909.08593   4-bit   Autotrain compatible Base model:nexusflow/starling-... Base model:quantized:nexusflow...   Conversational   Dataset:berkeley-nest/nectar   En   Endpoints compatible   Finetuned   Gptq   Has space   Mistral   Quantized   Region:us   Reward model   Rlaif   Rlhf   Safetensors

Starling LM 7B Beta GPTQ 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 Beta GPTQ Parameters and Internals

Model Type 
text-generation, conversational, reward model, RLHF, RLAIF
LLM NameStarling LM 7B Beta GPTQ
Repository 🤗https://huggingface.co/MaziyarPanahi/Starling-LM-7B-beta-GPTQ 
Model NameStarling-LM-7B-beta-GPTQ
Model CreatorNexusflow
Base Model(s)  Starling LM 7B Beta   Nexusflow/Starling-LM-7B-beta
Model Size7b
Required VRAM4.2 GB
Updated2026-03-30
MaintainerMaziyarPanahi
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.2
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 MaziyarPanahi/Starling-LM-7B-beta-GPTQ.

Rank the Starling LM 7B Beta GPTQ 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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Release v20260328a