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Wizard Vicuna 13B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:junelee/wizard-vicu... Base model:quantized:junelee/w...   En   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/wizard-vicuna-13B-AWQ 

Wizard Vicuna 13B AWQ Benchmarks

LLME Score: 0.11251
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Wizard Vicuna 13B AWQ (TheBloke/wizard-vicuna-13B-AWQ)
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Wizard Vicuna 13B AWQ Parameters and Internals

Model Type 
causal-lm, llama
Use Cases 
Primary Use Cases:
Multimodal conversations, Question answering
Considerations:
Heavily relies on data from ChatGPT, which might include proprietary information.
Additional Notes 
Highly experimental project aimed at combining two different conversation methodologies from WizardLM and VicunaLM.
Training Details 
Data Sources:
junelee/wizard_vicuna_70k
Methodology:
Trained using Vicuna's conversation extension format and fine-tuning techniques.
Training Time:
35 hours on 8 A100 GPUs
Hardware Used:
8 A100 GPUs
LLM NameWizard Vicuna 13B AWQ
Repository 🤗https://huggingface.co/TheBloke/wizard-vicuna-13B-AWQ 
Model NameWizard Vicuna 13B
Model Creatorjunelee
Base Model(s)  Wizard Vicuna 13B   junelee/wizard-vicuna-13b
Model Size13b
Required VRAM7.2 GB
Updated2025-08-19
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/wizard-vicuna-13B-AWQ.

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