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Zephyr Orpo 141B A35b V0.1 AWQ by MaziyarPanahi

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Zephyr Orpo 141B A35b V0.1 AWQ is an open-source language model by MaziyarPanahi. Features: 19.2b LLM, VRAM: 73.7GB, Context: 64K, MoE, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2311.07911   Arxiv:2403.07691   4-bit   Autotrain compatible   Awq Base model:huggingfaceh4/zephy... Base model:mistral-community/m... Base model:quantized:huggingfa...   Conversational Dataset:argilla/distilabel-cap...   Endpoints compatible   Finetuned   Generated from trainer   Has space   Mixtral   Moe   Orpo   Quantized   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-AWQ 

Zephyr Orpo 141B A35b V0.1 AWQ Benchmarks

LLME Score: 0.12933
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Orpo 141B A35b V0.1 AWQ (MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-AWQ)
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Zephyr Orpo 141B A35b V0.1 AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model is a quantized (AWQ) version of the base model for efficient inference.
Input Output 
Input Format:
Text prompt as string
Accepted Modalities:
text
Output Format:
Generated text response
LLM NameZephyr Orpo 141B A35b V0.1 AWQ
Repository 🤗https://huggingface.co/MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-AWQ 
Model Namezephyr-orpo-141b-A35b-v0.1-AWQ
Model CreatorHuggingFaceH4
Base Model(s)  HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1   HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
Model Size19.2b
Required VRAM73.7 GB
Updated2025-09-23
MaintainerMaziyarPanahi
Model Typemixtral
Model Files  5.0 GB: 1-of-15   5.0 GB: 2-of-15   5.0 GB: 3-of-15   5.0 GB: 4-of-15   5.0 GB: 5-of-15   5.0 GB: 6-of-15   5.0 GB: 7-of-15   5.0 GB: 8-of-15   5.0 GB: 9-of-15   5.0 GB: 10-of-15   5.0 GB: 11-of-15   5.0 GB: 12-of-15   5.0 GB: 13-of-15   5.0 GB: 14-of-15   3.7 GB: 15-of-15
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length65536
Model Max Length65536
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Mixtral 8x22B V0.1 AWQ64K / 73.7 GB794336
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Mixtral 11Bx2 MoE 19B4K / 38.4 GB117938
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-AWQ.

Rank the Zephyr Orpo 141B A35b V0.1 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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