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Wizard Vicuna 13B SuperHOT 8K GPTQ by TheBloke

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  4-bit   Autotrain compatible   Custom code   Ext 8k   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/wizard-vicuna-13B-SuperHOT-8K-GPTQ 

Wizard Vicuna 13B SuperHOT 8K GPTQ Benchmarks

LLME Score: 0.09302
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 SuperHOT 8K GPTQ (TheBloke/wizard-vicuna-13B-SuperHOT-8K-GPTQ)
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Wizard Vicuna 13B SuperHOT 8K GPTQ Parameters and Internals

Model Type 
text generation, multi-turn conversation
Additional Notes 
This model was converted to float16 to reduce disk space and memory requirements, making it easier to load and manage.
Training Details 
Data Sources:
https://huggingface.co/datasets/junelee/wizard_vicuna_70k
Methodology:
Combined WizardLM's dataset approach with Vicuna's multi-turn conversation tuning method
Training Time:
35 hours
Hardware Used:
8 A100 GPUs
LLM NameWizard Vicuna 13B SuperHOT 8K GPTQ
Repository 🤗https://huggingface.co/TheBloke/wizard-vicuna-13B-SuperHOT-8K-GPTQ 
Model Size13b
Required VRAM7.5 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  7.5 GB
GPTQ QuantizationYes
Context Length8k
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.30.0.dev0
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-SuperHOT-8K-GPTQ.

Rank the Wizard Vicuna 13B SuperHOT 8K GPTQ 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
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