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OpenOrca Zephyr 7B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:weyaxi/op... Base model:weyaxi/openorca-zep...   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF πŸ€—: https://huggingface.co/TheBloke/OpenOrca-Zephyr-7B-GPTQ 

OpenOrca Zephyr 7B GPTQ Benchmarks

LLME Score: 0.12439
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 GPTQ (TheBloke/OpenOrca-Zephyr-7B-GPTQ)
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OpenOrca Zephyr 7B GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
Quantization details: Multiple GPTQ parameter options are available; specific bit rates, group sizes, and other parameters are highlighted in the detailed documentation. Suitable for both CPU and GPU inference comprising various quantization forms like 4-bit, 8-bit with distinct VRAM trade-offs.
Input Output 
Input Format:
<|system|> {system_message}~~ <|user|> {prompt}~~ <|assistant|>
Output Format:
Varies based on inference execution
LLM NameOpenOrca Zephyr 7B GPTQ
Repository πŸ€—https://huggingface.co/TheBloke/OpenOrca-Zephyr-7B-GPTQ 
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
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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

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