OpenOrca Zephyr 7B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:weyaxi/op... Base model:weyaxi/openorca-zep...   Mistral   Quantized   Region:us   Safetensors

OpenOrca Zephyr 7B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenOrca Zephyr 7B AWQ (TheBloke/OpenOrca-Zephyr-7B-AWQ)
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OpenOrca Zephyr 7B AWQ Parameters and Internals

Model Type 
mistral
Training Details 
Context Length:
4096
Input Output 
Input Format:
<|system|> {system_message}~~ <|user|> {prompt}~~ <|assistant|>
LLM NameOpenOrca Zephyr 7B AWQ
Repository πŸ€—https://huggingface.co/TheBloke/OpenOrca-Zephyr-7B-AWQ 
Model NameOpenOrca Zephyr 7B
Model CreatorYağız ÇalΔ±k
Base Model(s)  OpenOrca Zephyr 7B   Weyaxi/OpenOrca-Zephyr-7B
Model Size7b
Required VRAM4.2 GB
Updated2025-09-14
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the OpenOrca Zephyr 7B AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124