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Starling LM 7B Beta Openvino Int8 by fakezeta

 »  All LLMs  »  fakezeta  »  Starling LM 7B Beta Openvino Int8   URL Share it on

  3   
  Arxiv:1909.08593   Autotrain compatible   Conversational   Dataset:berkeley-nest/nectar   En   Endpoints compatible   Mistral   Openvino   Region:us   Reward model   Rlaif   Rlhf
Model Card on HF 🤗: https://huggingface.co/fakezeta/Starling-LM-7B-beta-openvino-int8 

Starling LM 7B Beta Openvino Int8 Benchmarks

LLME Score: 0.14933
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 Openvino Int8 (fakezeta/Starling-LM-7B-beta-openvino-int8)
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Starling LM 7B Beta Openvino Int8 Parameters and Internals

Model Type 
Language Model
Use Cases 
Areas:
Research, RLHF/RLAIF applications
Primary Use Cases:
Language Model usage with custom prompt templates
Limitations:
Performance degrades if not using the provided chat template
Considerations:
Set temperature = 0 to reduce verbosity
Additional Notes 
Available for free test on LMSYS Chatbot Arena
Supported Languages 
languages_supported (English), proficiency ()
Training Details 
Data Sources:
berkeley-nest/Nectar
Methodology:
Finetuned with RLHF / RLAIF using PPO
Context Length:
8192
Model Architecture:
Model is a finetuned variant of Openchat-3.5-0106 based on Mistral-7B-v0.1
Input Output 
Input Format:
Specific chat template as Openchat-3.5-0106 with GPT-4 and Code conversation formats
Accepted Modalities:
Text
Output Format:
Text responses
Performance Tips:
Use the exact prompt template to prevent performance degradation
LLM NameStarling LM 7B Beta Openvino Int8
Repository 🤗https://huggingface.co/fakezeta/Starling-LM-7B-beta-openvino-int8 
Model Size7b
Required VRAM7.3 GB
Updated2025-08-20
Maintainerfakezeta
Model Typemistral
Model Files  7.3 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_turn|>
Vocabulary Size32002

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Note: green Score (e.g. "73.2") means that the model is better than fakezeta/Starling-LM-7B-beta-openvino-int8.

Rank the Starling LM 7B Beta Openvino Int8 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 v20241124
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