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OrionStar Yi 34B Chat Llama GPTQ by TheBloke

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OrionStar Yi 34B Chat Llama GPTQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.6GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.1.

  4-bit Base model:orionstarai/orionst... Base model:quantized:orionstar...   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/OrionStar-Yi-34B-Chat-Llama-GPTQ 

OrionStar Yi 34B Chat Llama GPTQ Benchmarks

LLME Score: 0.10379
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OrionStar Yi 34B Chat Llama GPTQ (TheBloke/OrionStar-Yi-34B-Chat-Llama-GPTQ)
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OrionStar Yi 34B Chat Llama GPTQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
academic research
Applications:
ChatGPT alternative
Additional Notes 
The Yi series models have shown impressive performance and are extensively fine-tuned for enhanced interaction.
Supported Languages 
Chinese (high), English (general)
Training Details 
Methodology:
Fine-tuned
Hardware Used:
Massed Compute
Model Architecture:
Based on open-source Yi-34B
Input Output 
Input Format:
Human: {prompt} Assistant:
Accepted Modalities:
text
Output Format:
text
LLM NameOrionStar Yi 34B Chat Llama GPTQ
Repository 🤗https://huggingface.co/TheBloke/OrionStar-Yi-34B-Chat-Llama-GPTQ 
Model NameOrionStar Yi 34B Chat Llama
Model CreatorOrionStarAI
Base Model(s)  OrionStar Yi 34B Chat Llama   OrionStarAI/OrionStar-Yi-34B-Chat-Llama
Model Size34b
Required VRAM18.6 GB
Updated2026-04-25
MaintainerTheBloke
Model Typellama
Model Files  18.6 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/OrionStar-Yi-34B-Chat-Llama-GPTQ.

Rank the OrionStar Yi 34B Chat Llama 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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